lemur::cluster::AgglomCluster Class Reference

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

#include <AgglomCluster.hpp>

Inheritance diagram for lemur::cluster::AgglomCluster:

List of all members.

Public Member Functions
	AgglomCluster (int cid, const lemur::api::Index &ind, const SimilarityMethod &sim, enum ClusterParam::docModes mode)
	initialize
virtual	~AgglomCluster ()
	clean up
virtual double	score (const ClusterRep *rep) const
	score a document against this cluster, given the rep.
virtual ClusterRep *	getClusterRep () const
	Get the ClusterRep for this Cluster for scoring. The Rep will have been weighted by the SimilarityMethod. Caller responsible for deleting.
virtual double	sum2 () const
	Sum of squared values in the cluster's term vector.
Private Member Functions
double	score_min (const ClusterRep *rep) const
	Score the rep using min.
double	score_max (const ClusterRep *rep) const
	Score the rep using max.
double	score_mean (const ClusterRep *rep) const
	Score the rep using mean.
double	score_ave (const ClusterRep *rep) const
	Score the rep using average.
Private Attributes
enum ClusterParam::docModes	docmode
	Scoring mode to use.

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Detailed Description

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

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Constructor & Destructor Documentation

lemur::cluster::AgglomCluster::AgglomCluster (  int  cid, const lemur::api::Index &  ind, const SimilarityMethod &  sim, enum ClusterParam::docModes  mode )  [inline]

initialize

virtual lemur::cluster::AgglomCluster::~AgglomCluster (   )  [inline, virtual]

clean up

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Member Function Documentation

lemur::cluster::ClusterRep * lemur::cluster::AgglomCluster::getClusterRep (   )  const [virtual]

Get the ClusterRep for this Cluster for scoring. The Rep will have been weighted by the SimilarityMethod. Caller responsible for deleting. Implements lemur::cluster::Cluster.

double lemur::cluster::AgglomCluster::score (  const ClusterRep *  rep  )  const [virtual]

score a document against this cluster, given the rep. Implements lemur::cluster::Cluster.

double lemur::cluster::AgglomCluster::score_ave (  const ClusterRep *  rep  )  const [private]

Score the rep using average.

double lemur::cluster::AgglomCluster::score_max (  const ClusterRep *  rep  )  const [private]

Score the rep using max.

double lemur::cluster::AgglomCluster::score_mean (  const ClusterRep *  rep  )  const [private]

Score the rep using mean.

double lemur::cluster::AgglomCluster::score_min (  const ClusterRep *  rep  )  const [private]

Score the rep using min.

double lemur::cluster::AgglomCluster::sum2 (   )  const [virtual]

Sum of squared values in the cluster's term vector. Reimplemented from lemur::cluster::Cluster.

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Member Data Documentation

enum ClusterParam::docModes lemur::cluster::AgglomCluster::docmode [private]

Scoring mode to use.

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The documentation for this class was generated from the following files:

• AgglomCluster.hpp
• AgglomCluster.cpp

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