Package | Description |
---|---|
org.apache.commons.math3.ml.clustering |
Clustering algorithms.
|
org.apache.commons.math3.ml.distance |
Common distance measures.
|
Modifier and Type | Method and Description |
---|---|
DistanceMeasure |
Clusterer.getDistanceMeasure()
Returns the
DistanceMeasure instance used by this clusterer. |
Constructor and Description |
---|
Clusterer(DistanceMeasure measure)
Build a new clusterer with the given
DistanceMeasure . |
DBSCANClusterer(double eps,
int minPts,
DistanceMeasure measure)
Creates a new instance of a DBSCANClusterer.
|
KMeansPlusPlusClusterer(int k,
int maxIterations,
DistanceMeasure measure)
Build a clusterer.
|
KMeansPlusPlusClusterer(int k,
int maxIterations,
DistanceMeasure measure,
RandomGenerator random)
Build a clusterer.
|
KMeansPlusPlusClusterer(int k,
int maxIterations,
DistanceMeasure measure,
RandomGenerator random,
KMeansPlusPlusClusterer.EmptyClusterStrategy emptyStrategy)
Build a clusterer.
|
Modifier and Type | Class and Description |
---|---|
class |
CanberraDistance
Calculates the Canberra distance between two points.
|
class |
ChebyshevDistance
Calculates the L∞ (max of abs) distance between two points.
|
class |
EuclideanDistance
Calculates the L2 (Euclidean) distance between two points.
|
class |
ManhattanDistance
Calculates the L1 (sum of abs) distance between two points.
|
Copyright © 2003-2013 Apache Software Foundation. All Rights Reserved.