## Uses of Class
org.apache.mahout.clustering.meanshift.MeanShiftCanopy

Packages that use MeanShiftCanopy
org.apache.mahout.clustering.meanshift

Uses of MeanShiftCanopy in org.apache.mahout.clustering.meanshift

Methods in org.apache.mahout.clustering.meanshift that return MeanShiftCanopy
`protected static MeanShiftCanopy` `MeanShiftCanopyClusterer.findCoveringCanopy(MeanShiftCanopy canopy, java.lang.Iterable<MeanShiftCanopy> clusters)`
`MeanShiftCanopy` `MeanShiftCanopy.shallowCopy()`

Methods in org.apache.mahout.clustering.meanshift that return types with arguments of type MeanShiftCanopy
`static java.util.List<MeanShiftCanopy>` `MeanShiftCanopyClusterer.clusterPoints(java.lang.Iterable<Vector> points, DistanceMeasure measure, double convergenceThreshold, double t1, double t2, int numIter)` This is the reference mean-shift implementation.
`static java.util.List<MeanShiftCanopy>` `MeanShiftCanopyClusterMapper.getCanopies(org.apache.hadoop.conf.Configuration conf)`
`protected java.util.List<MeanShiftCanopy>` `MeanShiftCanopyClusterer.iterate(java.lang.Iterable<MeanShiftCanopy> canopies, boolean[] converged)`

Methods in org.apache.mahout.clustering.meanshift with parameters of type MeanShiftCanopy
`boolean` `MeanShiftCanopyClusterer.closelyBound(MeanShiftCanopy canopy, Vector point)` Return if the point is closely covered by the canopy
`protected static MeanShiftCanopy` `MeanShiftCanopyClusterer.findCoveringCanopy(MeanShiftCanopy canopy, java.lang.Iterable<MeanShiftCanopy> clusters)`
`protected void` `MeanShiftCanopyClusterMapper.map(org.apache.hadoop.io.WritableComparable<?> key, MeanShiftCanopy canopy, org.apache.hadoop.mapreduce.Mapper.Context context)`
`protected void` `MeanShiftCanopyMapper.map(org.apache.hadoop.io.WritableComparable<?> key, MeanShiftCanopy canopy, org.apache.hadoop.mapreduce.Mapper.Context context)`
`void` `MeanShiftCanopyClusterer.mergeCanopy(MeanShiftCanopy aCanopy, java.util.Collection<MeanShiftCanopy> canopies)` Merge the given canopy into the canopies list.
`boolean` `MeanShiftCanopyClusterer.shiftToMean(MeanShiftCanopy canopy)` Shift the center to the new centroid of the cluster

Method parameters in org.apache.mahout.clustering.meanshift with type arguments of type MeanShiftCanopy
`protected static MeanShiftCanopy` `MeanShiftCanopyClusterer.findCoveringCanopy(MeanShiftCanopy canopy, java.lang.Iterable<MeanShiftCanopy> clusters)`
`protected java.util.List<MeanShiftCanopy>` `MeanShiftCanopyClusterer.iterate(java.lang.Iterable<MeanShiftCanopy> canopies, boolean[] converged)`
`void` `MeanShiftCanopyClusterer.mergeCanopy(MeanShiftCanopy aCanopy, java.util.Collection<MeanShiftCanopy> canopies)` Merge the given canopy into the canopies list.
`protected void` `MeanShiftCanopyReducer.reduce(org.apache.hadoop.io.Text key, java.lang.Iterable<MeanShiftCanopy> values, org.apache.hadoop.mapreduce.Reducer.Context context)`
`protected static void` `MeanShiftCanopyClusterer.verifyNonOverlap(java.lang.Iterable<MeanShiftCanopy> canopies)`

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