oracle.dmt.jdm.algorithm.kmeans
Class OraClusteringDistanceFunction

java.lang.Object
oracle.dmt.jdm.algorithm.kmeans.OraClusteringDistanceFunction

public class OraClusteringDistanceFunction

extends java.lang.Object

This class defines Oracle extensions to standard ClusteringDistanceFunction enumerations. Oracle supports cosine and fast_cosine distance functions in addition to euclidean function. By default euclidean distance function is used by the algorithm. Specified distance function is used as the metric to determine the similarity between the data points.

See Also:

ClusteringDistanceFunction

Field Summary

static javax.datamining.algorithm.kmeans.ClusteringDistanceFunction	cosine Setting value representing cosine distance function.
static javax.datamining.algorithm.kmeans.ClusteringDistanceFunction	fastCosine Setting value representing fast cosine distance function.

Methods inherited from class java.lang.Object

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

Field Detail

cosine

public static final javax.datamining.algorithm.kmeans.ClusteringDistanceFunction cosine

Setting value representing cosine distance function.

fastCosine

public static final javax.datamining.algorithm.kmeans.ClusteringDistanceFunction fastCosine

Setting value representing fast cosine distance function.