object Clusterer

The Clusterer provides a simple dataset (matrix of data points) for initial testing of clustering algorithms.

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Value Members

  1. def test(x: MatriD, fls: Array[Boolean], alg: Clusterer, opt: Double = -1.0): Unit

    Test the quality of the variants of the KMeansClusterer class.

    Test the quality of the variants of the KMeansClusterer class.

    x

    the data matrix holding the points/vectors

    fls

    the array of flags

    alg

    the clustering algorithm to test

    opt

    the known optimum for see (ignore if not known)

  2. val x: MatrixD