Class C2P

constructor

• new C2P(r: number, m: number): C2P

• Parameters

  • r: number

    Number of representative points
  • m: number

    Number of required sub-clusters

  Returns C2P

_cutoff_scale

_m

_n

_r

_root

_distance

• _distance(a: any, b: any): number

• Parameters

  • a: any
  • b: any

  Returns number

_mean

• _mean(a: any): any

• Parameters

  • a: any

  Returns any

fit

• fit(data: number[][]): void

• Fit model.

  Parameters

  • data: number[][]

    Training data

  Returns void

getClusters

• getClusters(
      number: number,
  ): { children: any[]; distance: number; index: number[]; repr: number[][] }[]

• Returns the specified number of clusters.

  Parameters

  • number: number

    Number of clusters

  Returns { children: any[]; distance: number; index: number[]; repr: number[][] }[]

  Cluster nodes

predict

• predict(k: number): number[]

• Returns predicted categories.

  Parameters

  • k: number

    Number of clusters

  Returns number[]

  Predicted values