@saehrimnir/druidjs / MeanShift

Class: MeanShift

Defined in: clustering/MeanShift.js:18

Mean Shift Clustering

A non-parametric clustering technique that does not require prior knowledge of the number of clusters. It identifies centers of density in the data.

Extends

• Clustering

Constructors

Constructor

new MeanShift(points: InputType, parameters?: Partial<ParametersMeanShift>): MeanShift;

Defined in: clustering/MeanShift.js:59

Parameters

Parameter	Type	Description
points	InputType	-
parameters	Partial<ParametersMeanShift>	-

Returns

MeanShift

Overrides

Clustering.constructor

Properties

Property	Type	Overrides	Inherited from	Defined in
_D	number	-	Clustering._D	clustering/Clustering.js:19
_matrix	Matrix	-	Clustering._matrix	clustering/Clustering.js:15
_N	number	-	Clustering._N	clustering/Clustering.js:17
_parameters	ParametersMeanShift	-	Clustering._parameters	clustering/Clustering.js:13
_points	Matrix	Clustering._points	-	clustering/MeanShift.js:42

Methods

get_cluster_list()

get_cluster_list(): number[];

Defined in: clustering/MeanShift.js:253

Returns

number[]

Overrides

Clustering.get_cluster_list

---

get_clusters()

get_clusters(): number[][];

Defined in: clustering/MeanShift.js:240

Returns

number[][]

Overrides

Clustering.get_clusters