Class KMedians

_centroids

centroids

• get centroids(): number[][]

  Centroids

  Returns number[][]

size

• get size(): number

  Number of clusters.

  Returns number

_add

• _add(centroids: number[][], datas: number[][]): number[]

  Returns a new centroid.

  Parameters

  • centroids: number[][]

    Centroids
  • datas: number[][]

    Training data

  Returns number[]

  Added centroid

_distance

• _distance(a: any, b: any): number

  Parameters

  • a: any
  • b: any

  Returns number

_mean

• _mean(d: any): number[]

  Parameters

  • d: any

  Returns number[]

_move

• _move(centroids: number[][], datas: number[][]): number[][]

  Returns moved centroid positions.

  Parameters

  • centroids: number[][]

    Centroids
  • datas: number[][]

    Training data

  Returns number[][]

  Moved centroids

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