|
||||||||||
PREV NEXT | FRAMES NO FRAMES |
Packages that use Cluster | |
---|---|
org.apache.mahout.clustering.kmeans | This package provides an implementation of the k-means clustering algorithm. |
Uses of Cluster in org.apache.mahout.clustering.kmeans |
---|
Methods in org.apache.mahout.clustering.kmeans that return Cluster | |
---|---|
static Cluster |
Cluster.decodeCluster(java.lang.String formattedString)
Decodes and returns a Cluster from the formattedString. |
Methods in org.apache.mahout.clustering.kmeans that return types with arguments of type Cluster | |
---|---|
static java.util.List<java.util.List<Cluster>> |
KMeansClusterer.clusterPoints(java.util.List<Vector> points,
java.util.List<Cluster> clusters,
DistanceMeasure measure,
int maxIter,
double distanceThreshold)
This is the reference k-means implementation. |
Methods in org.apache.mahout.clustering.kmeans with parameters of type Cluster | |
---|---|
static java.lang.String |
Cluster.formatCluster(Cluster cluster)
Format the cluster for output |
Method parameters in org.apache.mahout.clustering.kmeans with type arguments of type Cluster | |
---|---|
static java.util.List<java.util.List<Cluster>> |
KMeansClusterer.clusterPoints(java.util.List<Vector> points,
java.util.List<Cluster> clusters,
DistanceMeasure measure,
int maxIter,
double distanceThreshold)
This is the reference k-means implementation. |
void |
KMeansReducer.config(java.util.List<Cluster> clusters)
|
void |
KMeansClusterer.emitPointToNearestCluster(Vector point,
java.util.List<Cluster> clusters,
org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.Text,KMeansInfo> output)
Iterates over all clusters and identifies the one closes to the given point. |
void |
KMeansClusterer.outputPointWithClusterInfo(Vector point,
java.util.List<Cluster> clusters,
org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.Text,org.apache.hadoop.io.Text> output)
|
void |
KMeansReducer.reduce(org.apache.hadoop.io.Text key,
java.util.Iterator<KMeansInfo> values,
org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.Text,Cluster> output,
org.apache.hadoop.mapred.Reporter reporter)
|
static boolean |
KMeansClusterer.runKMeansIteration(java.util.List<Vector> points,
java.util.List<Cluster> clusters,
DistanceMeasure measure,
double distanceThreshold)
Perform a single iteration over the points and clusters, assigning points to clusters and returning if the iterations are completed. |
|
||||||||||
PREV NEXT | FRAMES NO FRAMES |