org.apache.spark.mllib

clustering

package clustering

Visibility
  1. Public
  2. All

Type Members

  1. class DistributedLDAModel extends LDAModel

    :: Experimental ::

  2. final class EMLDAOptimizer extends LDAOptimizer

    :: DeveloperApi ::

  3. class GaussianMixture extends Serializable

    :: Experimental ::

  4. class GaussianMixtureModel extends Serializable with Saveable

    :: Experimental ::

  5. 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).

  6. class KMeansModel extends Saveable with Serializable with PMMLExportable

    A clustering model for K-means.

  7. class LDA extends Logging

    :: Experimental ::

  8. abstract class LDAModel extends AnyRef

    :: Experimental ::

  9. sealed trait LDAOptimizer extends AnyRef

    :: DeveloperApi ::

  10. class LocalLDAModel extends LDAModel with Serializable

    :: Experimental ::

  11. final class OnlineLDAOptimizer extends LDAOptimizer

    :: DeveloperApi ::

  12. class PowerIterationClustering extends Serializable

    :: Experimental ::

  13. class PowerIterationClusteringModel extends Saveable with Serializable

    :: Experimental ::

  14. class StreamingKMeans extends Logging with Serializable

    :: Experimental ::

  15. class StreamingKMeansModel extends KMeansModel with Logging

    :: Experimental ::

Value Members

  1. object GaussianMixtureModel extends Loader[GaussianMixtureModel] with Serializable

    Annotations
    @Experimental()
  2. object KMeans extends Serializable

    Top-level methods for calling K-means clustering.

  3. object KMeansModel extends Loader[KMeansModel] with Serializable

  4. object PowerIterationClustering extends Logging with Serializable

    Annotations
    @Experimental()
  5. object PowerIterationClusteringModel extends Loader[PowerIterationClusteringModel] with Serializable

Ungrouped