Class DPMeans

Dirichlet Processes algorithm

Index

Constructors

Properties

Accessors

Methods

Constructors

constructor

new DPMeans(lambda: number): DPMeans
Parameters
- lambda: number
  cluster penalty parameter
Returns DPMeans
- Defined in lib/model/dp_means.d.ts:8

Properties

_c

_c: any[]

_d

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

_l

_l: number

Accessors

centroids

get centroids(): number[][]
Centroids

Returns number[][]
- Defined in lib/model/dp_means.d.ts:16

Methods

fit

fit(datas: number[][]): void
Fit model.
Parameters
- datas: number[][]
  Training data
Returns void
- Defined in lib/model/dp_means.d.ts:21

predict

predict(datas: number[][]): number[]
Returns predicted categories.
Parameters
- datas: number[][]
  Sample data
Returns number[]
Predicted values
- Defined in lib/model/dp_means.d.ts:27