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java.lang.Objectorg.apache.commons.math.stat.clustering.KMeansPlusPlusClusterer<T>
T
- type of the points to clusterpublic class KMeansPlusPlusClusterer<T extends Clusterable<T>>
Clustering algorithm based on David Arthur and Sergei Vassilvitski k-means++ algorithm.
Constructor Summary | |
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KMeansPlusPlusClusterer(java.util.Random random)
Build a clusterer. |
Method Summary | |
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java.util.List<Cluster<T>> |
cluster(java.util.Collection<T> points,
int k,
int maxIterations)
Runs the K-means++ clustering algorithm. |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public KMeansPlusPlusClusterer(java.util.Random random)
random
- random generator to use for choosing initial centersMethod Detail |
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public java.util.List<Cluster<T>> cluster(java.util.Collection<T> points, int k, int maxIterations)
points
- the points to clusterk
- the number of clusters to split the data intomaxIterations
- the maximum number of iterations to run the algorithm
for. If negative, no maximum will be used
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