Class DrakeKMeans

Drake's accelerated k-Means algorithm

Index

Constructors

Properties

_a _b _c _d _k _l _t _u _x _y

Accessors

Methods

_sortCenters fit init predict

Constructors

constructor

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

Properties

_a

_a: any[]

_b

_b: number

_c

_c: number[][]

_d

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

_k

_k: number

_l

_l: any[]

_t

_t: any[]

_u

_u: any[]

_x

_x: number[][]

_y

_y: any[]

Accessors

centroids

get centroids(): number[][]
Centroids

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

Methods

_sortCenters

_sortCenters(i: any, q: any, r: any): void
Parameters
- i: any
- q: any
- r: any
Returns void
- Defined in lib/model/drake_kmeans.d.ts:29

fit

fit(): void
Fit model.

Returns void
- Defined in lib/model/drake_kmeans.d.ts:33

init

init(datas: number[][]): void
Initialize this model.
Parameters
- datas: number[][]
  Training data
Returns void
- Defined in lib/model/drake_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/drake_kmeans.d.ts:39