org.apache.spark.mllib.util

KMeansDataGenerator

object KMeansDataGenerator

:: DeveloperApi :: Generate test data for KMeans. This class first chooses k cluster centers from a d-dimensional Gaussian distribution scaled by factor r and then creates a Gaussian cluster with scale 1 around each center.

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  11. def generateKMeansRDD(sc: SparkContext, numPoints: Int, k: Int, d: Int, r: Double, numPartitions: Int = 2): RDD[Array[Double]]

    Generate an RDD containing test data for KMeans.

    Generate an RDD containing test data for KMeans.

    sc

    SparkContext to use for creating the RDD

    numPoints

    Number of points that will be contained in the RDD

    k

    Number of clusters

    d

    Number of dimensions

    r

    Scaling factor for the distribution of the initial centers

    numPartitions

    Number of partitions of the generated RDD; default 2

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