Package | Description |
---|---|
org.hipparchus.clustering |
Clustering algorithms.
|
org.hipparchus.clustering.distance |
Common distance measures.
|
org.hipparchus.clustering.evaluation |
Cluster evaluation methods.
|
Modifier and Type | Method | Description |
---|---|---|
DistanceMeasure |
Clusterer.getDistanceMeasure() |
Returns the
DistanceMeasure instance used by this clusterer. |
Constructor | 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.
|
FuzzyKMeansClusterer(int k,
double fuzziness,
int maxIterations,
DistanceMeasure measure) |
Creates a new instance of a FuzzyKMeansClusterer.
|
FuzzyKMeansClusterer(int k,
double fuzziness,
int maxIterations,
DistanceMeasure measure,
double epsilon,
RandomGenerator random) |
Creates a new instance of a FuzzyKMeansClusterer.
|
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 | Description |
---|---|---|
class |
CanberraDistance |
Calculates the Canberra distance between two points.
|
class |
ChebyshevDistance |
Calculates the L∞ (max of abs) distance between two points.
|
class |
EarthMoversDistance |
Calculates the Earh Mover's distance (also known as Wasserstein metric) between two distributions.
|
class |
EuclideanDistance |
Calculates the L2 (Euclidean) distance between two points.
|
class |
ManhattanDistance |
Calculates the L1 (sum of abs) distance between two points.
|
Constructor | Description |
---|---|
ClusterEvaluator(DistanceMeasure measure) |
Creates a new cluster evaluator with the given distance measure.
|
SumOfClusterVariances(DistanceMeasure measure) |
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