Class KernelKMeans

Kernel k-means

Index

Constructors

Properties

_k _kernel _labels _x

Methods

_distance fit init predict

Constructors

constructor

new KernelKMeans(k?: number): KernelKMeans
Parameters
- Optionalk: number
  Number of clusters
Returns KernelKMeans
- Defined in lib/model/kernel_kmeans.d.ts:8

Properties

_k

_k: number

_kernel

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

_labels

_labels: any[] | number[] | undefined

_x

_x: number[][] | undefined

Methods

_distance

_distance(x: any, c: any): number
Parameters
- x: any
- c: any
Returns number
- Defined in lib/model/kernel_kmeans.d.ts:11

fit

fit(): void
Fit model.

Returns void
- Defined in lib/model/kernel_kmeans.d.ts:27

init

init(datas: number[][]): void
Initialize model.
Parameters
- datas: number[][]
  Training data
Returns void
- Defined in lib/model/kernel_kmeans.d.ts:16

predict

predict(): number[]
Returns predicted categories.

Returns number[]
Predicted values
- Defined in lib/model/kernel_kmeans.d.ts:23