Package | Description |
---|---|
org.apache.commons.math3.ml.clustering |
Clustering algorithms.
|
org.apache.commons.math3.ml.clustering.evaluation |
Cluster evaluation methods.
|
Modifier and Type | Class and Description |
---|---|
class |
CentroidCluster<T extends Clusterable>
A Cluster used by centroid-based clustering algorithms.
|
Modifier and Type | Method and Description |
---|---|
List<Cluster<T>> |
DBSCANClusterer.cluster(Collection<T> points)
Performs DBSCAN cluster analysis.
|
abstract List<? extends Cluster<T>> |
Clusterer.cluster(Collection<T> points)
Perform a cluster analysis on the given set of
Clusterable instances. |
Modifier and Type | Method and Description |
---|---|
protected Clusterable |
ClusterEvaluator.centroidOf(Cluster<T> cluster)
Computes the centroid for a cluster.
|
Modifier and Type | Method and Description |
---|---|
double |
SumOfClusterVariances.score(List<? extends Cluster<T>> clusters)
Computes the evaluation score for the given list of clusters.
|
abstract double |
ClusterEvaluator.score(List<? extends Cluster<T>> clusters)
Computes the evaluation score for the given list of clusters.
|
Copyright © 2003–2016 The Apache Software Foundation. All rights reserved.