Kmeans clusterer: This clusterer implements the K-Means clustering algorithm. More...

Inheritance diagram for Xapian::KMeans:

Public Member Functions
	KMeans (unsigned int k_, unsigned int max_iters_=0)
	Constructor specifying number of clusters and maximum iterations. More...

ClusterSet	cluster (const MSet &mset)
	Implements the KMeans clustering algorithm. More...

void	set_stopper (const Xapian::Stopper *stop=NULL)
	Set the Xapian::Stopper object to be used for identifying stopwords. More...

std::string	get_description () const
	Return a string describing this object.

Public Member Functions inherited from Xapian::Clusterer
virtual	~Clusterer ()
	Destructor.

Clusterer *	release ()
	Start reference counting this object. More...

const Clusterer *	release () const
	Start reference counting this object. More...

Detailed Description

Kmeans clusterer: This clusterer implements the K-Means clustering algorithm.

Constructor & Destructor Documentation

explicit

Constructor specifying number of clusters and maximum iterations.

Parameters

k_	Number of required clusters
max_iters_	The maximum number of iterations for which KMeans will run if it doesn't converge

ClusterSet Xapian::KMeans::cluster ( const MSet & mset )

virtual

Implements the KMeans clustering algorithm.

Parameters

mset	MSet object containing the documents that are to be clustered

void Xapian::KMeans::set_stopper ( const Xapian::Stopper * stop = NULL )

Set the Xapian::Stopper object to be used for identifying stopwords.

Stopwords are discarded while calculating term frequency for terms.

Parameters

stop	The Stopper object to set (default NULL, which means no stopwords)

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