org.apache.spark.mllib

clustering

package clustering

Visibility
  1. Public
  2. All

Type Members

  1. class DistributedLDAModel extends LDAModel

    :: Experimental ::

  2. class GaussianMixture extends Serializable

    :: Experimental ::

  3. class GaussianMixtureModel extends Serializable

    :: Experimental ::

  4. class KMeans extends Serializable with Logging

    K-means clustering with support for multiple parallel runs and a k-means++ like initialization mode (the k-means|| algorithm by Bahmani et al).

  5. class KMeansModel extends Serializable

    A clustering model for K-means.

  6. class LDA extends Logging

    :: Experimental ::

  7. abstract class LDAModel extends AnyRef

    :: Experimental ::

  8. class LocalLDAModel extends LDAModel with Serializable

    :: Experimental ::

  9. class PowerIterationClustering extends Serializable

    :: Experimental ::

  10. class PowerIterationClusteringModel extends Serializable

    :: Experimental ::

  11. class StreamingKMeans extends Logging

    :: Experimental ::

  12. class StreamingKMeansModel extends KMeansModel with Logging

    :: Experimental ::

Value Members

  1. object KMeans extends Serializable

    Top-level methods for calling K-means clustering.

  2. object PowerIterationClustering extends Logging with Serializable

    Annotations
    @Experimental()

Ungrouped