Class LMCLUS

constructor

• new LMCLUS(k: number, s: number, gamma: number): LMCLUS

  Parameters

  • k: number

    Max LM dim
  • s: number

    Sampling level
  • gamma: number

    Sensitivity threshold

  Returns LMCLUS

_c

_dims

_gamma

_k

_s

size

• get size(): number

  Number of clusters.

  Returns number

_findMinimumErrorThreshold

• _findMinimumErrorThreshold(h: any, r: any): any[]

  Parameters

  • h: any
  • r: any

  Returns any[]

_findSeparation

• _findSeparation(d: any, k: any, s: any): any[]

  Parameters

  • d: any
  • k: any
  • s: any

  Returns any[]

_makeHistogram

• _makeHistogram(d: any): any[][]

  Parameters

  • d: any

  Returns any[][]

_sampleidx

• _sampleidx(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(): number[]

  Returns predicted categories.

  Returns number[]

  Predicted values