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Packages that use MeanShiftCanopy | |
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org.apache.mahout.clustering.meanshift |
Uses of MeanShiftCanopy in org.apache.mahout.clustering.meanshift |
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Methods in org.apache.mahout.clustering.meanshift that return MeanShiftCanopy | |
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static MeanShiftCanopy |
MeanShiftCanopy.decodeCanopy(java.lang.String formattedString)
Decodes and returns a Canopy from the formattedString |
MeanShiftCanopy |
MeanShiftCanopy.shallowCopy()
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Methods in org.apache.mahout.clustering.meanshift that return types with arguments of type MeanShiftCanopy | |
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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 | |
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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)
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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 | |
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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)
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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)
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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)
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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)
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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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