Class SpectralClustering

constructor

• new SpectralClustering(
      affinity?:
          | "rbf"
          | "knn"
          | { k?: number; name: "rbf"; sigma?: number }
          | { k?: number; name: "knn" },
  ): SpectralClustering

  Parameters

  • Optionalaffinity:
        | "rbf"
        | "knn"
        | { k?: number; name: "rbf"; sigma?: number }
        | { k?: number; name: "knn" }

    Affinity type name

  Returns SpectralClustering

_affinity

_clustering

_epoch

_ev

_n

_s_ev

_size

ready

epoch

• get epoch(): number

  Epoch.

  Returns number

size

• get size(): number

  Number of clusters.

  Returns number

add

• add(): void

  Add a new cluster.

  Returns void

clear

• clear(): void

  Clear all clusters.

  Returns void

fit

• fit(): number

  Fit and returns total distance the centroid has moved.

  Returns number

  Total distance the centroid has moved

init

• init(datas: number[][]): void

  Initialize model.

  Parameters

  • datas: number[][]

    Training data

  Returns void

predict

• predict(): number[]

  Returns predicted categories.

  Returns number[]

  Predicted values