clustering

Type Members

1. class BisectingKMeans extends Estimator[BisectingKMeansModel] with BisectingKMeansParams with DefaultParamsWritable

   A bisecting k-means algorithm based on the paper "A comparison of document clustering techniques" by Steinbach, Karypis, and Kumar, with modification to fit Spark.

2. class BisectingKMeansModel extends Model[BisectingKMeansModel] with BisectingKMeansParams with MLWritable

   Model fitted by BisectingKMeans.

3. class BisectingKMeansSummary extends ClusteringSummary

   :: Experimental :: Summary of BisectingKMeans.

4. class ClusteringSummary extends Serializable

   :: Experimental :: Summary of clustering algorithms.

5. class DistributedLDAModel extends LDAModel

   Distributed model fitted by LDA.

6. class GaussianMixture extends Estimator[GaussianMixtureModel] with GaussianMixtureParams with DefaultParamsWritable

   Gaussian Mixture clustering.

7. class GaussianMixtureModel extends Model[GaussianMixtureModel] with GaussianMixtureParams with MLWritable

   Multivariate Gaussian Mixture Model (GMM) consisting of k Gaussians, where points are drawn from each Gaussian i with probability weights(i).

8. class GaussianMixtureSummary extends ClusteringSummary

   :: Experimental :: Summary of GaussianMixture.

9. class KMeans extends Estimator[KMeansModel] with KMeansParams with DefaultParamsWritable

   K-means clustering with support for k-means|| initialization proposed by Bahmani et al.

10. class KMeansModel extends Model[KMeansModel] with KMeansParams with MLWritable

    Model fitted by KMeans.

11. class KMeansSummary extends ClusteringSummary

    :: Experimental :: Summary of KMeans.

12. class LDA extends Estimator[LDAModel] with LDAParams with DefaultParamsWritable

    Latent Dirichlet Allocation (LDA), a topic model designed for text documents.

13. abstract class LDAModel extends Model[LDAModel] with LDAParams with Logging with MLWritable

    Model fitted by LDA.

14. class LocalLDAModel extends LDAModel

    Local (non-distributed) model fitted by LDA.