edu.stanford.nlp.cluster
Class VectorClusters

java.lang.Object
  |
  +--edu.stanford.nlp.cluster.AbstractSimpleClusters
        |
        +--edu.stanford.nlp.cluster.VectorClusters

All Implemented Interfaces:

Cloneable, Clusters, Serializable, SimpleClusters

public class VectorClusters

extends AbstractSimpleClusters

implements Clusters

Simple implementation of Clusters. Stores Clusters as a vector of Clusters.

See Also:

Serialized Form

Field Summary

protected Vector

clusters

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

score

Constructor Summary

VectorClusters()
constructs a Clusters

VectorClusters(int size)
constructs a Clusters of given size

Method Summary

boolean	add(Cluster cluster) Adds cluster to Clusters
void	clearData() Clears the Data from all clusters
Object	clone() Returns deep copy of Clusters
Cluster	get(int index) Returns Cluster with index index
double	getScore() Returns score, if score has already been computed
Iterator	iterator() Returns an iterator of Clusters
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 by taking the weighted average of probability distributions over data and features (and adding the cluster probabilities) and stores the merged cluster into the slot with 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
int	size() Returns number of clusters

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

equals, evaluateInterSimilarity, pr_w_d, score, toString, toXMLString

Methods inherited from class java.lang.Object

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

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

equals, evaluateInterSimilarity, pr_w_d, score, toString, toXMLString

Field Detail

clusters

protected Vector clusters

Constructor Detail

VectorClusters

public VectorClusters(int size)

constructs a Clusters of given size

VectorClusters

public VectorClusters()

constructs a Clusters

Method Detail

add

public boolean add(Cluster cluster)

Description copied from interface: Clusters

Adds cluster to Clusters

Specified by:

add in interface Clusters

Returns:

true if successful, false if not

get

public Cluster get(int index)

Description copied from interface: SimpleClusters

Returns Cluster with index index

Specified by:

get in interface SimpleClusters

Specified by:

get in class AbstractSimpleClusters

setSize

public void setSize(int size)

Description copied from interface: Clusters

Sets the the number of Clusters in Clusters

Specified by:

setSize in interface Clusters

set

public Cluster set(int index,
                   Cluster cluster)

Description copied from interface: Clusters

Sets the value of index index to cluster

Specified by:

set in interface Clusters

size

public int size()

Description copied from interface: SimpleClusters

Returns number of clusters

Specified by:

size in interface SimpleClusters

Specified by:

size in class AbstractSimpleClusters

removeElementAt

public void removeElementAt(int index)

Description copied from interface: Clusters

Removes cluster at index index

Specified by:

removeElementAt in interface Clusters

remove

public void remove(Cluster cluster)

Description copied from interface: Clusters

Removes Cluster cluster

Specified by:

remove in interface Clusters

iterator

public Iterator iterator()

Description copied from interface: SimpleClusters

Returns an iterator of Clusters

Specified by:

iterator in interface SimpleClusters

Specified by:

iterator in class AbstractSimpleClusters

reIndex

public void reIndex()

Description copied from interface: Clusters

Re-indexes clusters. Useful after removing a cluster.

Specified by:

reIndex in interface Clusters

clone

public Object clone()

Description copied from interface: SimpleClusters

Returns deep copy of Clusters

Specified by:

clone in interface SimpleClusters

Specified by:

clone in class AbstractSimpleClusters

getScore

public double getScore()

Description copied from interface: Clusters

Returns score, if score has already been computed

Specified by:

getScore in interface Clusters

merge

public void merge(int i,
                  int j)

Merges clusters i and j by taking the weighted average of probability distributions over data and features (and adding the cluster probabilities) and stores the merged cluster into the slot with the lower index

Specified by:

merge in interface Clusters

clearData

public void clearData()

Description copied from interface: Clusters

Clears the Data from all clusters

Specified by:

clearData in interface Clusters

logOddsTransform

public void logOddsTransform()

Description copied from interface: Clusters

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))).

Specified by:

logOddsTransform in interface Clusters