Ordering points to identify the clustering structure

Constructors

  • Parameters

    • threshold: number

      Threshold

    • Optionaleps: number

      Radius to determine neighborhood

    • OptionalminPts: number

      Number of neighborhood with core distance

    • Optionalmetric:
          | "euclid"
          | "manhattan"
          | "chebyshev"
          | (arg0: number[], arg1: number[]) => number

      Metric name

    Returns OPTICS

Properties

_core_distance: any[]
_d: (a: any, b: any) => any
_eps: number
_metric:
    | "euclid"
    | "manhattan"
    | "chebyshev"
    | (arg0: number[], arg1: number[]) => number
_minPts: number
_threshold: number

Methods

  • Fit model.

    Parameters

    • datas: number[][]

      Training data

    Returns void

  • Returns predicted categories.

    Returns number[]

    Predicted values