Class KernelKMeans

constructor

• new KernelKMeans(k?: number): KernelKMeans

• Parameters

  • Optionalk: number

    Number of clusters

  Returns KernelKMeans

_k

_kernel

_labels

_x

_distance

• _distance(x: any, c: any): number

• Parameters

  • x: any
  • c: any

  Returns number

fit

• fit(): void

• Fit model.

  Returns void

init

• init(datas: number[][]): void

• Initialize model.

  Parameters

  • datas: number[][]

    Training data

  Returns void

predict

• predict(): number[]

• Returns predicted categories.

  Returns number[]

  Predicted values