jsat.clustering

Class DBSCAN

java.lang.Object

jsat.clustering.ClustererBase

jsat.clustering.DBSCAN

All Implemented Interfaces:

java.io.Serializable, Clusterer

public class DBSCAN
extends ClustererBase

A density-based algorithm for discovering clusters in large spatial databases with noise (1996) by Martin Ester , Hans-peter Kriegel , Jörg S , Xiaowei Xu

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
DBSCAN()
DBSCAN(DBSCAN toCopy) Copy constructor
DBSCAN(DistanceMetric dm)
DBSCAN(DistanceMetric dm, VectorCollection<VecPaired<Vec,java.lang.Integer>> vc)

Method Summary

Modifier and Type	Method and Description
DBSCAN	clone()
int[]	cluster(DataSet dataSet, boolean parallel, int[] designations) Performs clustering on the given data set.
java.util.List<java.util.List<DataPoint>>	cluster(DataSet dataSet, double eps, int minPts)
java.util.List<java.util.List<DataPoint>>	cluster(DataSet dataSet, double eps, int minPts, boolean parallel)
int[]	cluster(DataSet dataSet, double eps, int minPts, boolean parallel, int[] designations)
int[]	cluster(DataSet dataSet, double eps, int minPts, int[] designations)
java.util.List<java.util.List<DataPoint>>	cluster(DataSet dataSet, int minPts)
java.util.List<java.util.List<DataPoint>>	cluster(DataSet dataSet, int minPts, boolean parallel)
int[]	cluster(DataSet dataSet, int minPts, boolean parallel, int[] designations)
int[]	cluster(DataSet dataSet, int minPts, int[] designations)

Methods inherited from class jsat.clustering.ClustererBase

createClusterListFromAssignmentArray, getDatapointsFromCluster

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface jsat.clustering.Clusterer

cluster, cluster, cluster, supportsWeightedData

Constructor Detail

DBSCAN

public DBSCAN(DistanceMetric dm,
              VectorCollection<VecPaired<Vec,java.lang.Integer>> vc)

DBSCAN

public DBSCAN()

DBSCAN

public DBSCAN(DistanceMetric dm)

DBSCAN

public DBSCAN(DBSCAN toCopy)

Copy constructor

Parameters:

toCopy - the object to copy

Method Detail

cluster

public java.util.List<java.util.List<DataPoint>> cluster(DataSet dataSet,
                                                         int minPts)

cluster

public int[] cluster(DataSet dataSet,
                     int minPts,
                     int[] designations)

cluster

public int[] cluster(DataSet dataSet,
                     boolean parallel,
                     int[] designations)

Description copied from interface: Clusterer

Performs clustering on the given data set. Parameters may be estimated by the method, or other heuristics performed.

Parameters:

dataSet - the data set to perform clustering on

parallel - true if multiple threads should be used to perform clustering. false if it should be done in a single threaded manner.

designations - the array which will contain the designated values. The array will be altered and returned by the function. If null is given, a new array will be created and returned.

Returns:

the int[]

clone

public DBSCAN clone()

Specified by:

clone in interface Clusterer

Specified by:

clone in class ClustererBase

cluster

public java.util.List<java.util.List<DataPoint>> cluster(DataSet dataSet,
                                                         int minPts,
                                                         boolean parallel)

cluster

public int[] cluster(DataSet dataSet,
                     int minPts,
                     boolean parallel,
                     int[] designations)

cluster

public java.util.List<java.util.List<DataPoint>> cluster(DataSet dataSet,
                                                         double eps,
                                                         int minPts)

cluster

public int[] cluster(DataSet dataSet,
                     double eps,
                     int minPts,
                     int[] designations)

cluster

public java.util.List<java.util.List<DataPoint>> cluster(DataSet dataSet,
                                                         double eps,
                                                         int minPts,
                                                         boolean parallel)

cluster

public int[] cluster(DataSet dataSet,
                     double eps,
                     int minPts,
                     boolean parallel,
                     int[] designations)