Class WeightedKMeans

constructor

• new WeightedKMeans(beta: number): WeightedKMeans

• Parameters

  • beta: number

    Tuning parameter

  Returns WeightedKMeans

_beta

_centroids

_w

centroids

• get centroids(): number[][]

• Centroids

  Returns number[][]

size

• get size(): number

• Number of clusters.

  Returns number

_distance

• _distance(a: any, b: any): number

• Parameters

  • a: any
  • b: any

  Returns number

add

• add(datas: number[][]): number[]

• Add a new cluster.

  Parameters

  • datas: number[][]

    Training data

  Returns number[]

  Added centroid

clear

• clear(): void

• Clear all clusters.

  Returns void

fit

• fit(datas: number[][]): number

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

  Parameters

  • datas: number[][]

    Training data

  Returns number

  Total distance the centroid has moved

predict

• predict(datas: number[][]): number[]

• Returns predicted categories.

  Parameters

  • datas: number[][]

    Sample data

  Returns number[]

  Predicted values