@ai-on-browser/data-analysis-models
    Preparing search index...

    Class SemiSupervisedKMeansModel

    semi-supervised k-means model

    Hierarchy

    • KMeansBase
      • SemiSupervisedKMeansModel
    Index

    Constructors

    Properties

    _centroids: any[]
    _classes: any[]

    Accessors

    • get categories(): any[]

      Categories

      Returns any[]

    • get centroids(): number[][]

      Centroids

      Returns number[][]

    • get size(): number

      Number of clusters.

      Returns number

    Methods

    • Parameters

      • a: any
      • b: any

      Returns number

    • Parameters

      • d: any

      Returns number[]

    • Add a new cluster.

      Returns void

      Added centroid

    • Clear all clusters.

      Returns void

    • Fit and returns total distance the centroid has moved.

      Parameters

      • datas: number[][]

        Training data

      • labels: any[]

        Target values

      Returns number

      Total distance the centroid has moved

    • Initialize model.

      Parameters

      • datas: number[][]

        Training data

      • labels: any[]

        Target values

      Returns void

    • Returns predicted categories.

      Parameters

      • datas: number[][]

        Sample data

      Returns any[]

      Predicted values