edu.stanford.nlp.cluster
Interface SimpleClusters

All Superinterfaces:

Cloneable, Serializable

All Known Subinterfaces:

Clusters

All Known Implementing Classes:

AbstractSimpleClusters, VectorClusters

public interface SimpleClusters

extends Serializable, Cloneable

Simple Interface for a collection of Clusters. Allows Display, but not manipulation of Clusters.

Method Summary

Object	clone() Returns deep copy of Clusters
boolean	equals(Clusters cs) Returns true of cs==this, false otherwise
double[]	evaluateInterSimilarity(Array[] means) Evaluates InterCluster Similarity.
Cluster	get(int index) Returns Cluster with index index
Iterator	iterator() Returns an iterator of Clusters
Matrix	pr_w_d() returns matrix of smoothed probabilities P(w,d)=P(z)P(w|z)P(d|z)
double	score(Matrix m) Evaluates score of Clusters
int	size() Returns number of clusters
String	toString(DataCollection dbm) Returns String representation of Clusters
String	toXMLString(DataCollection dbm) Returns XML String representation of Clusters

Method Detail

get

public Cluster get(int index)

Returns Cluster with index index

size

public int size()

Returns number of clusters

iterator

public Iterator iterator()

Returns an iterator of Clusters

clone

public Object clone()

Returns deep copy of Clusters

Overrides:

clone in class Object

equals

public boolean equals(Clusters cs)

Returns true of cs==this, false otherwise

toXMLString

public String toXMLString(DataCollection dbm)

Returns XML String representation of Clusters

toString

public String toString(DataCollection dbm)

Returns String representation of Clusters

evaluateInterSimilarity

public double[] evaluateInterSimilarity(Array[] means)

Evaluates InterCluster Similarity. A high value indicates that the clusters are far apart, and a low value indicates that the clusters are close together

score

public double score(Matrix m)

Evaluates score of Clusters

pr_w_d

public Matrix pr_w_d()

returns matrix of smoothed probabilities P(w,d)=P(z)P(w|z)P(d|z)