Class CHAMELEON

constructor

• new CHAMELEON(k?: number): CHAMELEON

• Parameters

  • Optionalk: number

    Number of neighborhoods

  Returns CHAMELEON

_alpha

_k

_minSize

_root

_t_rc

_t_ri

_d

• _d(a: any, b: any): number

• Parameters

  • a: any
  • b: any

  Returns number

_roughly_bisect

• _roughly_bisect(graph: any, cluster: any): (number | any[])[]

• Parameters

  • graph: any
  • cluster: any

  Returns (number | any[])[]

_sim

• _sim(a: any, b: any): number

• Parameters

  • a: any
  • b: any

  Returns number

fit

• fit(datas: number[][]): void

• Fit model.

  Parameters

  • datas: number[][]

    Training data

  Returns void

getClusters

• getClusters(number: number): any[]

• Returns the specified number of clusters.

  Parameters

  • number: number

    Number of clusters

  Returns any[]

  Cluster nodes

predict

• predict(k: number): number[]

• Returns predicted categories.

  Parameters

  • k: number

    Number of clusters

  Returns number[]

  Predicted values