4.1.1 clusters/clusters.asd

Source

clusters.asd.

Parent Component

clusters (system).

ASDF Systems

clusters.

4.1.2 clusters/aux-package.lisp

Source

clusters.asd.

Parent Component

clusters (system).

Packages

• clusters.fancy.
• clusters.aux-package.

Public Interface

defpackage (macro).

4.1.3 clusters/utils/package.lisp

Source

clusters.asd.

Parent Component

utils (module).

Packages

clusters.utils.

4.1.4 clusters/utils/maps.lisp

Source

clusters.asd.

Parent Component

utils (module).

Public Interface

• pmap (function).
• pmap-into (function).
• transform (function).

4.1.5 clusters/utils/matrix.lisp

Source

clusters.asd.

Parent Component

utils (module).

Public Interface

• distance-matrix (function).
• half-matrix-index->square-row/column (function).
• half-matrix-size->count (function).
• make-half-matrix (function).
• map-into-half-matrix (function).
• mref (function).
• (setf mref) (function).
• square-row/column->half-matrix-index (function).

Internals

• column-index (function).
• count->half-matrix-size (function).
• element-in-i-rows (function).
• row-index (function).

4.1.6 clusters/utils/random.lisp

Source

clusters.asd.

Parent Component

utils (module).

Public Interface

• draw-random-vector (function).
• lazy-shuffle (function).

4.1.7 clusters/utils/utils.lisp

Source

clusters.asd.

Parent Component

utils (module).

Public Interface

• copy-into (function).
• swap-if (function).

4.1.8 clusters/utils/partition.lisp

Source

clusters.asd.

Parent Component

utils (module).

Public Interface

seed (function).

4.1.9 clusters/metric/package.lisp

Source

clusters.asd.

Parent Component

metric (module).

Packages

clusters.metric.

4.1.10 clusters/metric/docstrings.lisp

Source

clusters.asd.

Parent Component

metric (module).

4.1.11 clusters/metric/euclid.lisp

Source

clusters.asd.

Parent Component

metric (module).

Public Interface

euclid (function).

4.1.12 clusters/metric/svr.lisp

Source

clusters.asd.

Parent Component

metric (module).

Public Interface

svr (function).

Internals

• array-sum (function).
• count-of-all-possible-subvectors-upto-length (function).
• grid-mapping (function).
• same-events (function).
• update-grid (function).
• with-grid-mapping-resources (macro).

4.1.13 clusters/metric/levenshtein.lisp

Source

clusters.asd.

Parent Component

metric (module).

Public Interface

levenshtein (function).

4.1.14 clusters/metric/lcs.lisp

Source

clusters.asd.

Parent Component

metric (module).

Public Interface

lcs (function).

4.1.15 clusters/metric/hellinger.lisp

Source

clusters.asd.

Parent Component

metric (module).

Public Interface

hellinger (function).

Internals

+sqrt2+ (constant).

4.1.16 clusters/metric/earth-mover.lisp

Source

clusters.asd.

Parent Component

metric (module).

Internals

earth-mover-metric (function).

4.1.17 clusters/metric/average.lisp

Source

clusters.asd.

Parent Component

metric (module).

Public Interface

average (function).

4.1.18 clusters/metric/group-average.lisp

Source

clusters.asd.

Parent Component

metric (module).

Public Interface

group-average (function).

4.1.19 clusters/metric/hausdorff.lisp

Source

clusters.asd.

Parent Component

metric (module).

Public Interface

hausdorff (function).

4.1.20 clusters/distance/package.lisp

Source

clusters.asd.

Parent Component

distance (module).

Packages

clusters.distance.

4.1.21 clusters/distance/docstrings.lisp

Source

clusters.asd.

Parent Component

distance (module).

4.1.22 clusters/distance/bhattacharyya.lisp

Source

clusters.asd.

Parent Component

distance (module).

Public Interface

bhattacharyya (function).

4.1.23 clusters/distance/sinkhorn.lisp

Source

clusters.asd.

Parent Component

distance (module).

Public Interface

sinkhorn (function).

Internals

• max-condition (function).
• sinkhorn-optimal-transport-matrix (function).
• sum-row (function).

4.1.24 clusters/common/package.lisp

Source

clusters.asd.

Parent Component

common (module).

Packages

clusters.

4.1.25 clusters/common/generics.lisp

Source

clusters.asd.

Parent Component

common (module).

Public Interface

• algorithm-state-class (generic function).
• algorithm-state-initialization-list (generic function).
• calculate-silhouette* (generic function).
• cluster-contents (generic function).
• cluster-indexes (generic reader).
• data (generic reader).
• (setf data) (generic writer).
• indexes (generic reader).
• (setf indexes) (generic writer).
• key-function (generic function).
• parameters (generic reader).
• result-class (generic function).
• result-initialization-list (generic function).
• run-algorithm (generic function).
• silhouette (generic function).

Internals

parallel-p (generic function).

4.1.26 clusters/common/types.lisp

Source

clusters.asd.

Parent Component

common (module).

Public Interface

• algorithm-state (class).
• cluster-indexes (reader method).
• data (reader method).
• data (reader method).
• (setf data) (writer method).
• indexes (reader method).
• indexes (reader method).
• (setf indexes) (writer method).
• key-function (reader method).
• parallelp (reader method).
• parameters (reader method).
• parameters (class).
• result (class).
• silhouette (method).
• silhouette-sample-count (reader method).
• silhouette-sample-size (reader method).

Internals

parameters-holder (class).

4.1.27 clusters/common/utils.lisp

Source

clusters.asd.

Parent Component

common (module).

Internals

cluster-values (function).

4.1.28 clusters/common/functions.lisp

Source

clusters.asd.

Parent Component

common (module).

Public Interface

• calculate-silhouette (function).
• cluster (function).
• make-algorithm-state (function).
• obtain-result (function).

4.1.29 clusters/common/silhouette.lisp

Source

clusters.asd.

Parent Component

common (module).

Public Interface

silhouette (reader method).

Internals

• average-distance-to-element (function).
• distance-matrix (function).
• inter-cluster-distances (function).
• intra-cluster-distances (function).
• select-random-cluster-subsets (function).

4.1.30 clusters/common/methods.lisp

Source

clusters.asd.

Parent Component

common (module).

Public Interface

• algorithm-state-initialization-list (method).
• calculate-silhouette* (method).
• cluster-contents (method).
• distance-function (method).
• initialize-instance (method).
• key-function (method).
• parallelp (method).
• result-class (method).
• result-class (method).
• result-initialization-list (method).
• silhouette-sample-count (method).
• silhouette-sample-size (method).

4.1.31 clusters/pam/package.lisp

Source

clusters.asd.

Parent Component

pam (module).

Packages

clusters.pam.

4.1.32 clusters/pam/generics.lisp

Source

clusters.asd.

Parent Component

pam (module).

4.1.33 clusters/pam/types.lisp

Source

clusters.asd.

Parent Component

pam (module).

Public Interface

parameters (class).

Internals

• access-cluster-contents (reader method).
• (setf access-cluster-contents) (writer method).
• access-cluster-size (reader method).
• (setf access-cluster-size) (writer method).
• access-distance-matrix (reader method).
• (setf access-distance-matrix) (writer method).
• access-medoids-count (reader method).
• (setf access-medoids-count) (writer method).
• access-unfinished-clusters (reader method).
• (setf access-unfinished-clusters) (writer method).
• algorithm-state (class).
• medoids-count (reader method).
• (setf medoids-count) (writer method).
• merge-threshold (reader method).
• (setf merge-threshold) (writer method).
• pam-result (class).
• read-distance-matrix (reader method).
• read-medoids-count (reader method).
• read-medoids-count (reader method).
• read-merge-threshold (reader method).
• read-select-medoids-attempts-count (reader method).
• read-split-merge-attempts-count (reader method).
• read-split-threshold (reader method).
• select-medoids-attempts-count (reader method).
• (setf select-medoids-attempts-count) (writer method).
• split-merge-attempts-count (reader method).
• (setf split-merge-attempts-count) (writer method).
• split-threshold (reader method).
• (setf split-threshold) (writer method).

4.1.34 clusters/pam/utils.lisp

Source

clusters.asd.

Parent Component

pam (module).

Internals

• assign-data-points-to-medoids (method).
• build-clusters (function).
• choose-effective-medoid (function).
• choose-effective-medoids (function).
• choose-initial-medoids (function).
• clear-cluster-contents (function).
• clear-unfinished-clusters (function).
• closest-medoid (function).
• fill-reclustering-index-vector (function).
• medoidp (function).
• order-medoids (function).
• prepare-reclustering-index-vector (function).
• recluster-clusters-of-invalid-size (function).
• reset (function).
• scan-for-clusters-of-invalid-size (function).
• unfinished-clusters-p (function).

4.1.35 clusters/pam/methods.lisp

Source

clusters.asd.

Parent Component

pam (module).

Public Interface

• algorithm-state-class (method).
• algorithm-state-initialization-list (method).
• calculate-silhouette* (method).
• initialize-instance (method).
• initialize-instance (method).
• result-class (method).
• result-initialization-list (method).
• run-algorithm (method).

Internals

• read-merge-threshold (method).
• read-select-medoids-attempts-count (method).
• read-split-merge-attempts-count (method).
• read-split-threshold (method).

4.1.36 clusters/clarans/package.lisp

Source

clusters.asd.

Parent Component

clarans (module).

Packages

clusters.clarans.

4.1.37 clusters/clarans/generics.lisp

Source

clusters.asd.

Parent Component

clarans (module).

Internals

• d (generic reader).
• (setf d) (generic writer).
• distortion (generic reader).
• (setf distortion) (generic writer).
• medoids (generic reader).
• (setf medoids) (generic writer).
• y (generic reader).
• (setf y) (generic writer).

4.1.38 clusters/clarans/types.lisp

Source

clusters.asd.

Parent Component

clarans (module).

Public Interface

• distance-function (reader method).
• parameters (class).

Internals

• algorithm-state (class).
• d (reader method).
• (setf d) (writer method).
• distance-function (reader method).
• (setf distance-function) (writer method).
• distortion (reader method).
• (setf distortion) (writer method).
• index-array (type).
• max-neighbor (reader method).
• (setf max-neighbor) (writer method).
• medoids (reader method).
• (setf medoids) (writer method).
• medoids-count (reader method).
• (setf medoids-count) (writer method).
• y (reader method).
• (setf y) (writer method).

4.1.39 clusters/clarans/utils.lisp

Source

clusters.asd.

Parent Component

clarans (module).

Internals

• contains (function).
• random-medoid (function).
• random-neighbor (function).
• to-cluster-contents (function).

4.1.40 clusters/clarans/methods.lisp

Source

clusters.asd.

Parent Component

clarans (module).

Public Interface

• algorithm-state-class (method).
• initialize-instance (method).
• initialize-instance (method).
• result-initialization-list (method).
• run-algorithm (method).

Internals

• max-neighbor (method).
• medoids-count (method).

4.1.41 clusters/k-means/package.lisp

Source

clusters.asd.

Parent Component

k-means (module).

Packages

clusters.k-means.

4.1.42 clusters/k-means/types.lisp

Source

clusters.asd.

Parent Component

k-means (module).

Public Interface

parameters (class).

Internals

• access-medoids (reader method).
• (setf access-medoids) (writer method).
• algorithm-state (class).
• distortion-epsilon (reader method).
• (setf distortion-epsilon) (writer method).
• iterations (reader method).
• (setf iterations) (writer method).
• medoids-count (reader method).
• (setf medoids-count) (writer method).
• read-clusters (reader method).
• read-distortion-epsilon (reader method).
• read-iterations (reader method).
• read-medoids-count (reader method).

4.1.43 clusters/k-means/utils.lisp

Source

clusters.asd.

Parent Component

k-means (module).

Internals

• assign-data-points-to-medoids (function).
• distortion (function).
• select-initial-medoids (function).
• select-new-medoids (function).

4.1.44 clusters/k-means/methods.lisp

Source

clusters.asd.

Parent Component

k-means (module).

Public Interface

• algorithm-state-class (method).
• algorithm-state-initialization-list (method).
• distance-function (method).
• initialize-instance (method).
• initialize-instance (method).
• result-initialization-list (method).
• run-algorithm (method).

Internals

• read-distortion-epsilon (method).
• read-iterations (method).
• read-medoids-count (method).

6.1.1 Macros

Macro: defpackage (package &rest options) ¶

Package

clusters.fancy.

Source

aux-package.lisp.

6.1.2 Ordinary functions

Function: average (fn a b &key test key) ¶

Package

clusters.metric.

Source

average.lisp.

Function: bhattacharyya (h1 h2) ¶

Package

clusters.distance.

Source

bhattacharyya.lisp.

Function: calculate-silhouette (result &optional distance-matrix) ¶

Package

clusters.

Source

functions.lisp.

Function: cluster (parameters data &rest arguments) ¶

Package

clusters.

Source

functions.lisp.

Function: copy-into (destination source) ¶

Package

clusters.utils.

Source

utils.lisp.

Function: distance-matrix (parallel distance-function data) ¶

Package

clusters.utils.

Source

matrix.lisp.

Function: draw-random-vector (input size &optional result) ¶

Package

clusters.utils.

Source

random.lisp.

Function: euclid (a b) ¶

Package

clusters.metric.

Source

euclid.lisp.

Function: group-average (fn a b &key key element-type distance-matrix) ¶

Package

clusters.metric.

Source

group-average.lisp.

Function: half-matrix-index->square-row/column (count index) ¶

Package

clusters.utils.

Source

matrix.lisp.

Function: half-matrix-size->count (size) ¶

Package

clusters.utils.

Source

matrix.lisp.

Function: hausdorff (fn a b &key key element-type distance-matrix) ¶

Package

clusters.metric.

Source

hausdorff.lisp.

Function: hellinger (q p) ¶

Package

clusters.metric.

Source

hellinger.lisp.

Function: lazy-shuffle (from to) ¶

Package

clusters.utils.

Source

random.lisp.

Function: lcs (a b &key test key a-start a-end b-start b-end base) ¶

Package

clusters.metric.

Source

lcs.lisp.

Function: levenshtein (str1 str2) ¶

Package

clusters.metric.

Source

levenshtein.lisp.

Function: make-algorithm-state (parameters data &rest arguments) ¶

Package

clusters.

Source

functions.lisp.

Function: make-half-matrix (count &rest all &key element-type initial-element initial-contents) ¶

Package

clusters.utils.

Source

matrix.lisp.

Function: map-into-half-matrix (parallel half-matrix function) ¶

Package

clusters.utils.

Source

matrix.lisp.

Function: mref (half-matrix from to &optional count) ¶

Package

clusters.utils.

Source

matrix.lisp.

Function: (setf mref) (half-matrix from to &optional count) ¶

Package

clusters.utils.

Source

matrix.lisp.

Function: obtain-result (state) ¶

Package

clusters.

Source

functions.lisp.

Function: pmap (parallel type function &rest sequences) ¶

Package

clusters.utils.

Source

maps.lisp.

Function: pmap-into (parallel sequence function &rest sequences) ¶

Package

clusters.utils.

Source

maps.lisp.

Function: seed (data indexes medoids y distance-function) ¶

Package

clusters.utils.

Source

partition.lisp.

Function: sinkhorn (cost first-vector second-vector regularization-strength &optional epsilon) ¶

Package

clusters.distance.

Source

sinkhorn.lisp.

Function: square-row/column->half-matrix-index (count j i) ¶

Package

clusters.utils.

Source

matrix.lisp.

Function: svr (a b) ¶

Package

clusters.metric.

Source

svr.lisp.

Function: swap-if (vector test &key key start end) ¶

Package

clusters.utils.

Source

utils.lisp.

Function: transform (parallel function sequence &rest sequences) ¶

Package

clusters.utils.

Source

maps.lisp.

6.1.3 Generic functions

Generic Function: algorithm-state-class (parameters) ¶

Package

clusters.

Source

generics.lisp.

Methods

Method: algorithm-state-class ((parameters parameters)) ¶

Source

methods.lisp.

Method: algorithm-state-class ((parameters parameters)) ¶

Source

methods.lisp.

Method: algorithm-state-class ((parameters parameters)) ¶

Source

methods.lisp.

Generic Function: algorithm-state-initialization-list (parameters data &rest arguments &key distance-matrix &allow-other-keys) ¶

Package

clusters.

Source

generics.lisp.

Method Combination

append.

Options

:most-specific-first

Methods

Method: algorithm-state-initialization-list append ((parameters parameters) data &rest all &key &allow-other-keys) ¶

Source

methods.lisp.

Method: algorithm-state-initialization-list append ((parameters parameters) data &rest all &key distance-matrix &allow-other-keys) ¶

Source

methods.lisp.

Method: algorithm-state-initialization-list append ((parameters parameters) data &rest arguments &key &allow-other-keys) ¶

Source

methods.lisp.

Generic Function: calculate-silhouette* (parameters result &optional distance-matrix) ¶

Package

clusters.

Source

generics.lisp.

Methods

Method: calculate-silhouette* :around ((parameters parameters) clustering-result &optional distance-matrix) ¶

Source

methods.lisp.

Method: calculate-silhouette* ((parameters parameters) clustering-result &optional distance-matrix) ¶

Source

methods.lisp.

Generic Function: cluster-contents (result) ¶

Package

clusters.

Source

generics.lisp.

Methods

Method: cluster-contents ((result result)) ¶

Source

methods.lisp.

Generic Reader: cluster-indexes (result) ¶

Package

clusters.

Source

generics.lisp.

Methods

Reader Method: cluster-indexes ((result result)) ¶

automatically generated reader method

Source

types.lisp.

Target Slot

%cluster-indexes.

Generic Reader: data (result) ¶

Package

clusters.

Source

generics.lisp.

Methods

Reader Method: data ((algorithm-state algorithm-state)) ¶

automatically generated reader method

Source

types.lisp.

Target Slot

%data.

Reader Method: data ((result result)) ¶

automatically generated reader method

Source

types.lisp.

Target Slot

%data.

Generic Writer: (setf data) (algorithm-state) ¶

Package

clusters.

Source

generics.lisp.

Methods

Writer Method: (setf data) ((algorithm-state algorithm-state)) ¶

automatically generated writer method

Source

types.lisp.

Target Slot

%data.

Generic Function: distance-function (instance) ¶

Package

clusters.

Methods

Method: distance-function ((parameters parameters)) ¶

Source

methods.lisp.

Reader Method: distance-function ((parameters parameters)) ¶

automatically generated reader method

Source

types.lisp.

Target Slot

%distance-function.

Method: distance-function ((instance parameters-holder)) ¶

Source

methods.lisp.

Generic Reader: indexes (algorithm-state) ¶

Package

clusters.

Source

generics.lisp.

Methods

Reader Method: indexes ((algorithm-state algorithm-state)) ¶

automatically generated reader method

Source

types.lisp.

Target Slot

%indexes.

Reader Method: indexes ((result result)) ¶

automatically generated reader method

Source

types.lisp.

Target Slot

%indexes.

Generic Writer: (setf indexes) (algorithm-state) ¶

Package

clusters.

Source

generics.lisp.

Methods

Writer Method: (setf indexes) ((algorithm-state algorithm-state)) ¶

automatically generated writer method

Source

types.lisp.

Target Slot

%indexes.

Generic Function: key-function (parameters) ¶

Package

clusters.

Source

generics.lisp.

Methods

Method: key-function ((instance parameters-holder)) ¶

Source

methods.lisp.

Reader Method: key-function ((parameters parameters)) ¶

automatically generated reader method

Source

types.lisp.

Target Slot

%key-function.

Generic Function: parallelp (object) ¶

Package

clusters.

Methods

Method: parallelp ((instance parameters-holder)) ¶

Source

methods.lisp.

Reader Method: parallelp ((parameters parameters)) ¶

automatically generated reader method

Source

types.lisp.

Target Slot

%parallelp.

Generic Reader: parameters (result) ¶

Package

clusters.

Source

generics.lisp.

Methods

Reader Method: parameters ((parameters-holder parameters-holder)) ¶

automatically generated reader method

Source

types.lisp.

Target Slot

%parameters.

Generic Function: result-class (parameters) ¶

Package

clusters.

Source

generics.lisp.

Methods

Method: result-class ((parameters parameters)) ¶

Source

methods.lisp.

Method: result-class ((state algorithm-state)) ¶

Source

methods.lisp.

Method: result-class ((parameters parameters)) ¶

Source

methods.lisp.

Generic Function: result-initialization-list (state) ¶

Package

clusters.

Source

generics.lisp.

Method Combination

append.

Options

:most-specific-first

Methods

Method: result-initialization-list append ((state algorithm-state)) ¶

Source

methods.lisp.

Method: result-initialization-list append ((state algorithm-state)) ¶

Source

methods.lisp.

Method: result-initialization-list append ((state algorithm-state)) ¶

Source

methods.lisp.

Method: result-initialization-list append ((state algorithm-state)) ¶

Source

methods.lisp.

Generic Function: run-algorithm (state) ¶

Package

clusters.

Source

generics.lisp.

Methods

Method: run-algorithm ((state algorithm-state)) ¶

Source

methods.lisp.

Method: run-algorithm ((state algorithm-state)) ¶

Source

methods.lisp.

Method: run-algorithm ((state algorithm-state)) ¶

Source

methods.lisp.

Generic Function: silhouette (result) ¶

Package

clusters.

Source

generics.lisp.

Methods

Reader Method: silhouette :before ((object result)) ¶

Source

silhouette.lisp.

Target Slot

%silhouette.

Method: silhouette ((result result)) ¶

automatically generated reader method

Source

types.lisp.

Generic Function: silhouette-sample-count (object) ¶

Package

clusters.

Methods

Method: silhouette-sample-count ((instance parameters-holder)) ¶

Source

methods.lisp.

Reader Method: silhouette-sample-count ((parameters parameters)) ¶

automatically generated reader method

Source

types.lisp.

Target Slot

%silhouette-sample-count.

Generic Function: silhouette-sample-size (object) ¶

Package

clusters.

Methods

Method: silhouette-sample-size ((instance parameters-holder)) ¶

Source

methods.lisp.

Reader Method: silhouette-sample-size ((parameters parameters)) ¶

automatically generated reader method

Source

types.lisp.

Target Slot

%silhouette-sample-size.

6.1.4 Standalone methods

Method: initialize-instance :after ((instance algorithm-state) &rest initargs) ¶

Source

methods.lisp.

Method: initialize-instance :after ((instance parameters) &rest all) ¶

Source

methods.lisp.

Method: initialize-instance :after ((instance algorithm-state) &rest initargs) ¶

Source

methods.lisp.

Method: initialize-instance :after ((instance parameters) &rest all) ¶

Source

methods.lisp.

Method: initialize-instance :after ((instance algorithm-state) &rest all) ¶

Source

methods.lisp.

Method: initialize-instance :after ((instance parameters) &rest all) ¶

Source

methods.lisp.

Method: initialize-instance :after ((instance algorithm-state) &rest all) ¶

Source

methods.lisp.

6.1.5 Classes

Class: algorithm-state ¶

Package

clusters.

Source

types.lisp.

Direct superclasses

parameters-holder.

Direct subclasses

• algorithm-state.
• algorithm-state.
• algorithm-state.

Direct methods

• (setf data).
• data.
• (setf indexes).
• indexes.
• initialize-instance.
• result-class.
• result-initialization-list.

Direct Default Initargs

Initarg	Value
:data	(vect)
:indexes	nil

Direct slots

Slot: %data ¶

Initargs

:data

Readers

data.

Writers

(setf data).

Slot: %indexes ¶

Initargs

:indexes

Readers

indexes.

Writers

(setf indexes).

Class: parameters ¶

Package

clusters.

Source

types.lisp.

Direct subclasses

• parameters.
• parameters.
• parameters.

Direct methods

• algorithm-state-initialization-list.
• calculate-silhouette*.
• key-function.
• parallelp.
• result-class.
• silhouette-sample-count.
• silhouette-sample-size.

Direct Default Initargs

Initarg	Value
:key-function	(function identity)
:parallelp	nil
:silhouette-sample-count	15
:silhouette-sample-size	500

Direct slots

Slot: %parallelp ¶

Initargs

:parallelp

Readers

parallelp.

Writers

This slot is read-only.

Slot: %key-function ¶

Initargs

:key-function

Readers

key-function.

Writers

This slot is read-only.

Slot: %silhouette-sample-count ¶

Initargs

:silhouette-sample-count

Readers

silhouette-sample-count.

Writers

This slot is read-only.

Slot: %silhouette-sample-size ¶

Initargs

:silhouette-sample-size

Readers

silhouette-sample-size.

Writers

This slot is read-only.

Class: parameters ¶

Package

clusters.pam.

Source

types.lisp.

Direct superclasses

parameters.

Direct methods

• algorithm-state-class.
• algorithm-state-initialization-list.
• calculate-silhouette*.
• initialize-instance.
• (setf medoids-count).
• medoids-count.
• (setf merge-threshold).
• merge-threshold.
• read-medoids-count.
• read-merge-threshold.
• read-select-medoids-attempts-count.
• read-split-merge-attempts-count.
• read-split-threshold.
• result-class.
• (setf select-medoids-attempts-count).
• select-medoids-attempts-count.
• (setf split-merge-attempts-count).
• split-merge-attempts-count.
• (setf split-threshold).
• split-threshold.

Direct Default Initargs

Initarg	Value
:split-threshold	nil
:merge-threshold	nil
:select-medoids-attempts-count	20
:split-merge-attempts-count	0

Direct slots

Slot: %split-threshold ¶

Initargs

:split-threshold

Readers

• read-split-threshold.
• split-threshold.

Writers

(setf split-threshold).

Slot: %merge-threshold ¶

Initargs

:merge-threshold

Readers

• merge-threshold.
• read-merge-threshold.

Writers

(setf merge-threshold).

Slot: %select-medoids-attempts-count ¶

Initargs

:select-medoids-attempts-count

Readers

• read-select-medoids-attempts-count.
• select-medoids-attempts-count.

Writers

(setf select-medoids-attempts-count).

Slot: %split-merge-attempts-count ¶

Initargs

:split-merge-attempts-count

Readers

• read-split-merge-attempts-count.
• split-merge-attempts-count.

Writers

(setf split-merge-attempts-count).

Slot: %medoids-count ¶

Initargs

:medoids-count

Readers

• medoids-count.
• read-medoids-count.

Writers

(setf medoids-count).

Class: parameters ¶

Package

clusters.clarans.

Source

types.lisp.

Direct superclasses

parameters.

Direct methods

• algorithm-state-class.
• (setf distance-function).
• distance-function.
• distance-function.
• initialize-instance.
• (setf max-neighbor).
• max-neighbor.
• (setf medoids-count).
• medoids-count.

Direct slots

Slot: %distance-function ¶

Initargs

:distance-function

Readers

• distance-function.
• distance-function.

Writers

(setf distance-function).

Slot: %max-neighbor ¶

Initargs

:max-neighbor

Readers

max-neighbor.

Writers

(setf max-neighbor).

Slot: %medoids-count ¶

Initargs

:medoids-count

Readers

medoids-count.

Writers

(setf medoids-count).

Class: parameters ¶

Package

clusters.k-means.

Source

types.lisp.

Direct superclasses

parameters.

Direct methods

• algorithm-state-class.
• algorithm-state-initialization-list.
• distance-function.
• (setf distortion-epsilon).
• distortion-epsilon.
• initialize-instance.
• (setf iterations).
• iterations.
• (setf medoids-count).
• medoids-count.
• read-distortion-epsilon.
• read-iterations.
• read-medoids-count.

Direct Default Initargs

Initarg	Value
:iterations	nil

Direct slots

Slot: %medoids-count ¶

Type

alexandria:non-negative-fixnum

Initargs

:medoids-count

Readers

• medoids-count.
• read-medoids-count.

Writers

(setf medoids-count).

Slot: %iterations ¶

Initargs

:iterations

Readers

• iterations.
• read-iterations.

Writers

(setf iterations).

Slot: %distortion-epsilon ¶

Type

single-float

Initargs

:distortion-epsilon

Readers

• distortion-epsilon.
• read-distortion-epsilon.

Writers

(setf distortion-epsilon).

Class: result ¶

Package

clusters.

Source

types.lisp.

Direct superclasses

parameters-holder.

Direct subclasses

pam-result.

Direct methods

• cluster-contents.
• cluster-indexes.
• data.
• indexes.
• silhouette.
• silhouette.

Direct slots

Slot: %cluster-indexes ¶

Type

vector

Initargs

:cluster-indexes

Readers

cluster-indexes.

Writers

This slot is read-only.

Slot: %indexes ¶

Initargs

:indexes

Readers

indexes.

Writers

This slot is read-only.

Slot: %data ¶

Type

vector

Initargs

:data

Readers

data.

Writers

This slot is read-only.

Slot: %silhouette ¶

Type

(vector single-float)

Initargs

:silhouette

Readers

silhouette.

Writers

This slot is read-only.