Kernel Density Estimation Outlier Score

Constructors

Properties

Methods

Constructors

  • 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

Properties

_e: number
_kernel: any
_kmax: number
_kmin: number
_phi: number

Methods

  • Parameters

    • x: any

    Returns number

  • Parameters

    • a: any
    • b: any

    Returns number

  • Returns anomaly degrees.

    Parameters

    • datas: number[][]

      Training data

    Returns number[]

    Predicted values