Drake's accelerated k-Means algorithm

Constructors

Properties

Accessors

Methods

Constructors

  • Parameters

    • k: number

      Number of clusters

    Returns DrakeKMeans

Properties

_a: any[]
_b: number
_c: number[][]
_d: (a: any, b: any) => number
_k: number
_l: any[]
_t: any[]
_u: any[]
_x: number[][]
_y: any[]

Accessors

  • get centroids(): number[][]
  • Centroids

    Returns number[][]

Methods

  • Parameters

    • i: any
    • q: any
    • r: any

    Returns void

  • Fit model.

    Returns void

  • Initialize this model.

    Parameters

    • datas: number[][]

      Training data

    Returns void

  • Returns predicted categories.

    Parameters

    • datas: number[][]

      Sample data

    Returns number[]

    Predicted values