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lemur::cluster Namespace Reference

Document clustering components. More...


Classes

class  AgglomCluster
 K nearest neighbors clustering of documents. d_ave, d_min, d_max, d_mean scoring methods. More...

class  CentroidCluster
 Centroid clustering of documents (agglomerative mean). Trades space for speed. More...

class  Cluster
 Cluster representation, a vector of cluster elements. More...

class  ClusterElt
 Cluster element representation. More...

class  ClusterFactory
 Factory class for making Cluster instances. More...

class  ClusterRep
 Generic vector space representation for a cluster or document. More...

class  CosSim
 Cosine similarity method for vector space comparisons. More...

class  FlatFileClusterDB
 Writes one file, name.cl, the cluster database. More...

class  KeyfileClusterDB
 Keyfile based cluster database. More...

class  OfflineCluster
 Offline clustering algorithms. More...

class  PLSA
 Probabilistic Latent Semantic Analysis Java Reference implementation from Andrew Schein and Alexandrin Popescul (Penn). PennAspect (GPL). More...

class  SimFactory
 Factory for creating SimilarityMethod objects. More...

class  SimilarityMethod
 Generic similarity method. More...

class  ThresholdFcn
 Generic threshold function. More...


Typedefs

typedef double(PLSA::* jointfuncType )(int, int)
 Joint probability function pointer.


Detailed Description

Document clustering components.

Typedef Documentation

typedef double(PLSA::* lemur::cluster::jointfuncType)(int, int)
 

Joint probability function pointer.


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