Package | Description |
---|---|
edu.ucla.sspace.clustering | |
edu.ucla.sspace.wordsi |
Modifier and Type | Class and Description |
---|---|
class |
AutomaticStopClustering
A
Clustering implementation that iteratively computes the k-means
clustering of a data set and fines the value of k that produced the most
significant advantage compared to other values of k. |
class |
BisectingKMeans
An implementation of the Bisecting K-Means algorithm, also known as Repeated
Bisections.
|
class |
CKVWSpectralClustering03
A spectral clustering implementation based on the following paper:
David Cheng , Ravi Kannan , Santosh Vempala , Grant Wang (2003) On a Recursive Spectral Algorithm for Clustering from Pairwise Similaritie. |
class |
CKVWSpectralClustering06
A spectral clustering implementation based on the following paper:
David Cheng , Ravi Kannan , Santosh Vempala , Grant Wang (2003) A Divid-and-Merge Methodology for Clustering. |
class |
ClusteringByCommittee
An implementation of the Clustering by Committee (CBC) algorithm.
|
class |
ClutoClustering
A class for interacting with the CLUTO
clustering library.
|
class |
DataMatrixLinkClustering |
class |
DirectClustering
An implementation of the Direct K-Means clustering available in the
CLUTO Clustering
Software.
|
class |
GapStatistic
A
Clustering implementation that iteratively computes the
k-means clustering of a data set and compares it to a random sample of
reference data points. |
class |
HierarchicalAgglomerativeClustering
A utility class for performing Hierarchical
Agglomerative Clustering on matrix data in a file.
|
class |
LinkClustering
An implmentation of the link clustering described in Ahn, Bagrow, and Lehman
(2010).
|
class |
NeighborChainAgglomerativeClustering
A Nearest Neighbor Chain Agglomerative Clustering implementation.
|
class |
Streemer
An implementation of the Streemer (Streaming EM) algorithm for
foreground/background clustering.
|
Constructor and Description |
---|
WaitingWordsi(Set<String> acceptedWords,
ContextExtractor extractor,
Clustering clustering,
AssignmentReporter reporter)
Creates a new
WaitingWordsi . |
WaitingWordsi(Set<String> acceptedWords,
ContextExtractor extractor,
Clustering clustering,
AssignmentReporter reporter,
int numClusters)
Creates a new
WaitingWordsi . |
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