Class FINDIT

constructor

• new FINDIT(minsize: number, mindist: number): FINDIT

• Parameters

  • minsize: number

    Mininum size of clusters
  • mindist: number

    Merge threshold

  Returns FINDIT

_avgdThreshold

_cminsize

_delta

_dmindist

_e

_kd

_m

_mcs

_mminsize

_penaltyDim

_rho

_sminsize

_V

size

• get size(): number

• Number of clusters

  Returns number

_binomial

• _binomial(k: any, n: any, p: any): number

• Parameters

  • k: any
  • n: any
  • p: any

  Returns number

_chernoffBounds

• _chernoffBounds(xi: any, k: any, rho: any, delta: any): number

• Parameters

  • xi: any
  • k: any
  • rho: any
  • delta: any

  Returns number

_sample

• _sample(n: any, k: any): number[]

• Parameters

  • n: any
  • k: any

  Returns number[]

fit

• fit(datas: number[][]): void

• Fit model.

  Parameters

  • datas: number[][]

    Training data

  Returns void

predict

• predict(x: number[][]): number[]

• Returns predicted categories.

  Parameters

  • x: number[][]

    Sample data

  Returns number[]

  Predicted categories