DENsity CLUstering

Constructors

  • Parameters

    • h: number

      Smoothing parameter for the kernel

    • Optionalversion: 1 | 2

      Version number

    • Optionalkernel: "gaussian" | { name: "gaussian" } | (arg0: number[]) => number

      Kernel name

    Returns DENCLUE

Properties

_datas: number[][]
_delta: number
_h: number
_ignore_p: number
_k: any[]
_kernel: (u: any) => number
_probs: number[]
_radius: any[]
_version: 1 | 2
_x: number[][]
_xi: number

Accessors

  • get size(): number
  • Number of clusters

    Returns number

Methods

  • Parameters

    • x: any

    Returns number[]

  • Parameters

    • x: any

    Returns number

  • Fit model.

    Returns void

  • Initialize model.

    Parameters

    • datas: number[][]

      Training data

    Returns void

  • Returns predicted categories.

    Returns number[]

    Predicted values