Class MacQueenKMeans

MacQueen's k-Means algorithm

Index

Constructors

Properties

Accessors

Methods

Constructors

constructor

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

Properties

_c

_c: any[]

_d

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

_k

_k: number

_n

_n: any[]

Accessors

centroids

get centroids(): number[][]
Centroids

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

Methods

fit

fit(datas: number[][]): void
Fit model.
Parameters
- datas: number[][]
  Training data
Returns void
- Defined in lib/model/macqueen_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/macqueen_kmeans.d.ts:28