Class KPrototypes

constructor

• new KPrototypes(gamma: number, categoryPositions: boolean[]): KPrototypes

• Parameters

  • gamma: number

    Weight for categorical data
  • categoryPositions: boolean[]

    Category column position

  Returns KPrototypes

_categories

_gamma

_iscat

_modes

size

• get size(): number

• Number of clusters.

  Returns number

add

• add(datas: any[][]): void

• Add a new cluster.

  Parameters

  • datas: any[][]

    Training data

  Returns void

clear

• clear(): void

• Clear all clusters.

  Returns void

fit

• fit(datas: any[][]): number

• Fit model and returns total distance the modes has moved.

  Parameters

  • datas: any[][]

    Training data

  Returns number

  Total distance the modes has moved

predict

• predict(datas: any[][]): number[]

• Returns predicted categories.

  Parameters

  • datas: any[][]

    Sample data

  Returns number[]

  Predicted values