Class DOC

Density-based Optimal projective Clustering

Index

Constructors

Properties

_alpha _beta _d _mu _p _w

Methods

_select fit predict

Constructors

constructor

new DOC(alpha: number, beta: number, w: number): DOC
Parameters
- alpha: number
  Dense scale
- beta: number
  Balanced value
- w: number
  Width of cluster
Returns DOC
- Defined in lib/model/doc.d.ts:10

Properties

_alpha

_alpha: number

_beta

_beta: number

_d

_d: any[]

_mu

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

_p

_p: any[]

_w

_w: number

Methods

_select

_select(n: any, k: any): number[]
Parameters
- n: any
- k: any
Returns number[]
- Defined in lib/model/doc.d.ts:17

fit

fit(datas: number[][]): void
Fit model.
Parameters
- datas: number[][]
  Sample data
Returns void
- Defined in lib/model/doc.d.ts:22

predict

predict(): number[]
Returns predicted categories.

Returns number[]
Predicted values
- Defined in lib/model/doc.d.ts:27