@ai-on-browser/data-analysis-models
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    DENsity CLUstering

    Index

    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