edu.stanford.nlp.cluster
Class SoftCluster

java.lang.Object
  |
  +--edu.stanford.nlp.cluster.SimpleCluster
        |
        +--edu.stanford.nlp.cluster.SoftCluster

All Implemented Interfaces:

Cloneable, Cluster

public class SoftCluster

extends SimpleCluster

Soft Cluster. Each datum is assigned to several clusters with a certain probability.

SoftCluster stores term and document probabilities in DenseDoubleArrays. This is useful for Soft Clusters, which are defined as a smooth probability distribution over terms, documents

Field Summary

Fields inherited from class edu.stanford.nlp.cluster.SimpleCluster

index, mean, nd, nt, pr_d_z, pr_w_z, pr_z, scatter

Constructor Summary

SoftCluster(int num_terms, int num_docs)
Allocates memory for arrays, and initializes values to 0

SoftCluster(int num_terms, int num_docs, int i)
Allocates memory for arrays, initializes values to 0, and sets index

Methods inherited from class edu.stanford.nlp.cluster.SimpleCluster

clearData, clone, equals, evaluateIntraSimilarity, evaluateWeightedMean, get_pr_d_z, get_pr_d_z, get_pr_w_z, get_pr_w_z, get_pr_z, getIndex, getIntraSimilarity, getMean, set_pr_d_z, set_pr_d_z, set_pr_w_z, set_pr_w_z, set_pr_z, setIndex, toString, toString, toXMLString, toXMLString

Methods inherited from class java.lang.Object

finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

SoftCluster

public SoftCluster(int num_terms,
                   int num_docs)

Allocates memory for arrays, and initializes values to 0

SoftCluster

public SoftCluster(int num_terms,
                   int num_docs,
                   int i)

Allocates memory for arrays, initializes values to 0, and sets index