## Uses of Class
org.apache.mahout.math.neighborhood.UpdatableSearcher

Packages that use UpdatableSearcher
org.apache.mahout.clustering.streaming.cluster
org.apache.mahout.clustering.streaming.mapreduce
org.apache.mahout.math.neighborhood

Uses of UpdatableSearcher in org.apache.mahout.clustering.streaming.cluster

Methods in org.apache.mahout.clustering.streaming.cluster that return UpdatableSearcher
`UpdatableSearcher` `StreamingKMeans.cluster(Centroid datapoint)` Cluster one data point.
`UpdatableSearcher` `StreamingKMeans.cluster(Iterable<Centroid> datapoints)` Cluster the data points in an Iterable<Centroid>.
`UpdatableSearcher` `BallKMeans.cluster(List<? extends WeightedVector> datapoints)` Clusters the datapoints in the list doing either random seeding of the centroids or k-means++.
`UpdatableSearcher` `StreamingKMeans.cluster(Matrix data)` Cluster the rows of a matrix, treating them as Centroids with weight 1.

Constructors in org.apache.mahout.clustering.streaming.cluster with parameters of type UpdatableSearcher
`BallKMeans(UpdatableSearcher searcher, int numClusters, int maxNumIterations)`
`BallKMeans(UpdatableSearcher searcher, int numClusters, int maxNumIterations, boolean kMeansPlusPlusInit, int numRuns)`
`BallKMeans(UpdatableSearcher searcher, int numClusters, int maxNumIterations, double trimFraction, boolean kMeansPlusPlusInit, boolean correctWeights, double testProbability, int numRuns)`
`StreamingKMeans(UpdatableSearcher searcher, int numClusters)` Calls StreamingKMeans(searcher, numClusters, 1.3, 10, 2).
`StreamingKMeans(UpdatableSearcher searcher, int numClusters, double distanceCutoff)` Calls StreamingKMeans(searcher, numClusters, distanceCutoff, 1.3, 10, 2).
`StreamingKMeans(UpdatableSearcher searcher, int numClusters, double distanceCutoff, double beta, double clusterLogFactor, double clusterOvershoot)` Creates a new StreamingKMeans class given a searcher and the number of clusters to generate.

Uses of UpdatableSearcher in org.apache.mahout.clustering.streaming.mapreduce

Methods in org.apache.mahout.clustering.streaming.mapreduce that return UpdatableSearcher
`static UpdatableSearcher` `StreamingKMeansUtilsMR.searcherFromConfiguration(org.apache.hadoop.conf.Configuration conf)` Instantiates a searcher from a given configuration.

Uses of UpdatableSearcher in org.apache.mahout.math.neighborhood

Subclasses of UpdatableSearcher in org.apache.mahout.math.neighborhood
`class` `BruteSearch` Search for nearest neighbors using a complete search (i.e.
`class` `FastProjectionSearch` Does approximate nearest neighbor search by projecting the vectors similar to ProjectionSearch.
`class` `LocalitySensitiveHashSearch` Implements a Searcher that uses locality sensitivity hash as a first pass approximation to estimate distance without floating point math.
`class` `ProjectionSearch` Does approximate nearest neighbor dudes search by projecting the data.

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