edu.stanford.nlp.cluster
Interface Clusters

All Superinterfaces:

Cloneable, Serializable, SimpleClusters

All Known Implementing Classes:

VectorClusters

public interface Clusters

extends SimpleClusters

Interface for a collection of Clusters that span the entire data collection.

Method Summary

boolean	add(Cluster cluster) Adds cluster to Clusters
void	clearData() Clears the Data from all clusters
double	getScore() Returns score, if score has already been computed
void	logOddsTransform() transforms feature values to log-odds values, where the value of feature w in cluster z Value(w,z)=log2(P(w|z)/avg_over_clusters(P(w|z))).
void	merge(int i, int j) Merges clusters i and j and assigns the merged cluster the lower index.
void	reIndex() Re-indexes clusters.
void	remove(Cluster cluster) Removes Cluster cluster
void	removeElementAt(int index) Removes cluster at index index
Cluster	set(int index, Cluster cluster) Sets the value of index index to cluster
void	setSize(int size) Sets the the number of Clusters in Clusters

Methods inherited from interface edu.stanford.nlp.cluster.SimpleClusters

clone, equals, evaluateInterSimilarity, get, iterator, pr_w_d, score, size, toString, toXMLString

Method Detail

add

public boolean add(Cluster cluster)

Adds cluster to Clusters

Returns:

true if successful, false if not

setSize

public void setSize(int size)

Sets the the number of Clusters in Clusters

set

public Cluster set(int index,
                   Cluster cluster)

Sets the value of index index to cluster

removeElementAt

public void removeElementAt(int index)

Removes cluster at index index

remove

public void remove(Cluster cluster)

Removes Cluster cluster

reIndex

public void reIndex()

Re-indexes clusters. Useful after removing a cluster.

getScore

public double getScore()

Returns score, if score has already been computed

merge

public void merge(int i,
                  int j)

Merges clusters i and j and assigns the merged cluster the lower index.

clearData

public void clearData()

Clears the Data from all clusters

logOddsTransform

public void logOddsTransform()

transforms feature values to log-odds values, where the value of feature w in cluster z Value(w,z)=log2(P(w|z)/avg_over_clusters(P(w|z))).