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Packages that use SoftCluster | |
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org.apache.mahout.clustering.fuzzykmeans |
Uses of SoftCluster in org.apache.mahout.clustering.fuzzykmeans |
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Methods in org.apache.mahout.clustering.fuzzykmeans that return SoftCluster | |
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static SoftCluster |
SoftCluster.decodeCluster(java.lang.String formattedString)
Decodes and returns a SoftCluster from the formattedString |
SoftCluster[] |
FuzzyKMeansOutput.getClusters()
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Methods in org.apache.mahout.clustering.fuzzykmeans that return types with arguments of type SoftCluster | |
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static java.util.List<java.util.List<SoftCluster>> |
FuzzyKMeansClusterer.clusterPoints(java.util.List<Vector> points,
java.util.List<SoftCluster> clusters,
DistanceMeasure measure,
double threshold,
double m,
int numIter)
This is the reference k-means implementation. |
Methods in org.apache.mahout.clustering.fuzzykmeans with parameters of type SoftCluster | |
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void |
FuzzyKMeansOutput.add(int i,
SoftCluster softCluster,
double probWeight)
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boolean |
FuzzyKMeansClusterer.computeConvergence(SoftCluster cluster)
Return if the cluster is converged by comparing its center and centroid. |
static java.lang.String |
SoftCluster.formatCluster(SoftCluster cluster)
Format the SoftCluster for output |
Method parameters in org.apache.mahout.clustering.fuzzykmeans with type arguments of type SoftCluster | |
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static java.util.List<java.util.List<SoftCluster>> |
FuzzyKMeansClusterer.clusterPoints(java.util.List<Vector> points,
java.util.List<SoftCluster> clusters,
DistanceMeasure measure,
double threshold,
double m,
int numIter)
This is the reference k-means implementation. |
void |
FuzzyKMeansReducer.config(java.util.List<SoftCluster> clusters)
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void |
FuzzyKMeansClusterer.emitPointProbToCluster(Vector point,
java.util.List<SoftCluster> clusters,
org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.Text,FuzzyKMeansInfo> output)
Emit the point and its probability of belongingness to each cluster |
void |
FuzzyKMeansClusterer.outputPointWithClusterProbabilities(java.lang.String key,
Vector point,
java.util.List<SoftCluster> clusters,
org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.Text,FuzzyKMeansOutput> output)
Output point with cluster info (Cluster and probability) |
void |
FuzzyKMeansReducer.reduce(org.apache.hadoop.io.Text key,
java.util.Iterator<FuzzyKMeansInfo> values,
org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.Text,SoftCluster> output,
org.apache.hadoop.mapred.Reporter reporter)
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static boolean |
FuzzyKMeansClusterer.runFuzzyKMeansIteration(java.util.List<Vector> points,
java.util.List<SoftCluster> clusterList,
FuzzyKMeansClusterer 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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