Class KDEOS

constructor

• new KDEOS(
      kmin: number,
      kmax: number,
      kernel?:
          | "gaussian"
          | "epanechnikov"
          | { name: "gaussian" }
          | { name: "epanechnikov" }
          | ((arg0: number, arg1: number, arg2: number) => number),
  ): KDEOS

  Parameters

  • kmin: number

    Minimum number of neighborhoods
  • kmax: number

    Maximum number of neighborhoods
  • Optionalkernel:
        | "gaussian"
        | "epanechnikov"
        | { name: "gaussian" }
        | { name: "epanechnikov" }
        | ((arg0: number, arg1: number, arg2: number) => number)

    Kernel name

  Returns KDEOS

_e

_kernel

_kmax

_kmin

_phi

_cdf

• _cdf(x: any): number

  Parameters

  • x: any

  Returns number

_distance

• _distance(a: any, b: any): number

  Parameters

  • a: any
  • b: any

  Returns number

predict

• predict(datas: number[][]): number[]

  Returns anomaly degrees.

  Parameters

  • datas: number[][]

    Training data

  Returns number[]

  Predicted values