Search Java Classes and Packages
#Org.apache.spark.mllib.clustering Classes and Interfaces - 20 results found.
| Name | Description | Type | Package | Framework |
| BisectingKMeans | 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. | Class | org.apache.spark.mllib.clustering | Apache Spark |
| BisectingKMeansModel | Clustering model produced by BisectingKMeans. | Class | org.apache.spark.mllib.clustering | Apache Spark |
| DistributedLDAModel | Class | org.apache.spark.mllib.clustering | Apache Spark | |
| EMLDAOptimizer | Optimizer for EM algorithm which stores data + parameter graph, plus algorithm parameters. | Class | org.apache.spark.mllib.clustering | Apache Spark |
| ExpectationSum | Class | org.apache.spark.mllib.clustering | Apache Spark | |
| GaussianMixture | This class performs expectation maximization for multivariate Gaussian Mixture Models (GMMs). | Class | org.apache.spark.mllib.clustering | Apache Spark |
| GaussianMixtureModel | Multivariate Gaussian Mixture Model (GMM) consisting of k Gaussians, where points are drawn from each Gaussian i=1. | Class | org.apache.spark.mllib.clustering | Apache Spark |
| KMeans | K-means clustering with support for multiple parallel runs and a k-means++ like initialization mode (the k-meansalgorithm by Bahmani et al). | Class | org.apache.spark.mllib.clustering | Apache Spark |
| KMeansModel | A clustering model for K-means. | Class | org.apache.spark.mllib.clustering | Apache Spark |
| LDA | Latent Dirichlet Allocation (LDA), a topic model designed for text documents. | Class | org.apache.spark.mllib.clustering | Apache Spark |
| LDAModel | Latent Dirichlet Allocation (LDA) model. | Class | org.apache.spark.mllib.clustering | Apache Spark |
| LDAOptimizer | An LDAOptimizer specifies which optimization/learning/inference algorithm to use, and it can hold optimizer-specific parameters for users to set. | Interface | org.apache.spark.mllib.clustering | Apache Spark |
| LocalLDAModel | This model stores only the inferred topics. | Class | org.apache.spark.mllib.clustering | Apache Spark |
| OnlineLDAOptimizer | An online optimizer for LDA. | Class | org.apache.spark.mllib.clustering | Apache Spark |
| PowerIterationClustering | Class | org.apache.spark.mllib.clustering | Apache Spark | |
| PowerIterationClustering .Assignment | param: cluster assigned cluster idSee Also:Serialized Form | Class | org.apache.spark.mllib.clustering.PowerIterationClustering | Apache Spark |
| PowerIterationClustering .Assignment$ | Class | org.apache.spark.mllib.clustering.PowerIterationClustering | Apache Spark | |
| PowerIterationClusteringModel | Model produced by PowerIterationClustering. | Class | org.apache.spark.mllib.clustering | Apache Spark |
| StreamingKMeans | StreamingKMeans provides methods for configuring a streaming k-means analysis, training the model on streaming, | Class | org.apache.spark.mllib.clustering | Apache Spark |
| StreamingKMeansModel | StreamingKMeansModel extends MLlib's KMeansModel for streaming algorithms, so it can keep track of a continuously updated weight | Class | org.apache.spark.mllib.clustering | Apache Spark |