Class HartiganWongKMeans

Hartigan-Wong k-Means algorithm

Index

Constructors

Properties

_c _d _k _n _p _x

Accessors

Methods

fit init predict

Constructors

constructor

new HartiganWongKMeans(k: number): HartiganWongKMeans
Parameters
- k: number
  Number of clusters
Returns HartiganWongKMeans
- Defined in lib/model/hartigan_wong_kmeans.d.ts:8

Properties

_c

_c: any[] | null

_d

_d: (a: any, b: any) => number

_k

_k: number

_n

_n: any[] | null

_p

_p: any[] | undefined

_x

_x: number[][] | undefined

Accessors

centroids

get centroids(): number[][]
Centroids

Returns number[][]
- Defined in lib/model/hartigan_wong_kmeans.d.ts:17

Methods

fit

fit(): void
Fit model.

Returns void
- Defined in lib/model/hartigan_wong_kmeans.d.ts:28

init

init(datas: number[][]): void
Initialize this model.
Parameters
- datas: number[][]
  Training data
Returns void
- Defined in lib/model/hartigan_wong_kmeans.d.ts:22

predict

predict(datas: number[][]): number[]
Returns predicted categories.
Parameters
- datas: number[][]
  Sample data
Returns number[]
Predicted values
- Defined in lib/model/hartigan_wong_kmeans.d.ts:34