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
static MeanShiftCanopy MeanShiftCanopy.decodeCanopy(java.lang.String formattedString)
          Decodes and returns a Canopy from the formattedString
 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.util.List<Vector> points, DistanceMeasure measure, double convergenceThreshold, double t1, double t2, int numIter)
          This is the reference mean-shift implementation.
 

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
static java.lang.String MeanShiftCanopy.formatCanopy(MeanShiftCanopy canopy)
          Format the canopy for output
 void MeanShiftCanopyMapper.map(org.apache.hadoop.io.WritableComparable<?> key, MeanShiftCanopy canopy, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.Text,MeanShiftCanopy> output, org.apache.hadoop.mapred.Reporter reporter)
           
 void MeanShiftCanopyClusterer.mergeCanopy(MeanShiftCanopy aCanopy, java.util.List<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
 void MeanShiftCanopyMapper.map(org.apache.hadoop.io.WritableComparable<?> key, MeanShiftCanopy canopy, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.Text,MeanShiftCanopy> output, org.apache.hadoop.mapred.Reporter reporter)
           
 void MeanShiftCanopyCreatorMapper.map(org.apache.hadoop.io.WritableComparable<?> key, VectorWritable vector, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.Text,MeanShiftCanopy> output, org.apache.hadoop.mapred.Reporter reporter)
           
 void MeanShiftCanopyClusterer.mergeCanopy(MeanShiftCanopy aCanopy, java.util.List<MeanShiftCanopy> canopies)
          Merge the given canopy into the canopies list.
 void MeanShiftCanopyReducer.reduce(org.apache.hadoop.io.Text key, java.util.Iterator<MeanShiftCanopy> values, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.Text,MeanShiftCanopy> output, org.apache.hadoop.mapred.Reporter reporter)
           
 void MeanShiftCanopyReducer.reduce(org.apache.hadoop.io.Text key, java.util.Iterator<MeanShiftCanopy> values, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.Text,MeanShiftCanopy> output, org.apache.hadoop.mapred.Reporter reporter)
           
static boolean MeanShiftCanopyClusterer.runMeanShiftCanopyIteration(java.util.List<MeanShiftCanopy> canopies, MeanShiftCanopyClusterer clusterer)
          Perform a single iteration over the points and clusters, assigning points to clusters and returning if the iterations are completed.
 



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