OpenANN::KMeans Class Reference

K-means clustering. More...

#include <KMeans.h>

Inheritance diagram for OpenANN::KMeans:

Public Member Functions
	KMeans (int D, int K)
	Create KMeans object. More...
virtual Transformer &	fit (const Eigen::MatrixXd &X)
	Fit transformation according to training set X. More...
virtual Eigen::MatrixXd	transform (const Eigen::MatrixXd &X)
	Transform the data. More...
Eigen::MatrixXd	operator() (const Eigen::MatrixXd &X)
	Compute for each instance the distances to the centers. More...
Eigen::MatrixXd	getCenters ()
	Get the learned centers. More...
Public Member Functions inherited from OpenANN::Transformer
virtual	~Transformer ()
virtual Transformer &	fitPartial (const Eigen::MatrixXd &X)
	Fit transformation according to subset of the training set X. More...

Detailed Description

K-means clustering.

This is an iterative implementation based on mini-batch stochastic gradient descent [1].

[1] Sculley, D.: Web-scale k-means clustering, Proceedings of the 19th international conference on World wide web, pp. 1177-1178, ISBN 978-1-60558-799-8, 2010.

Constructor & Destructor Documentation

OpenANN::KMeans::KMeans	(	int	D,
		int	K
	)

Create KMeans object.

Parameters

D	number of features
K	number of centers

Member Function Documentation

virtual Transformer& OpenANN::KMeans::fit ( const Eigen::MatrixXd &  X)

virtual

Fit transformation according to training set X.

Parameters

X	each row represents an instance

Returns

this for chaining

Implements OpenANN::Transformer.

Eigen::MatrixXd OpenANN::KMeans::getCenters

(

)

Get the learned centers.

Returns

each row represents a center

Eigen::MatrixXd OpenANN::KMeans::operator()

(

const Eigen::MatrixXd &

X)

Compute for each instance the distances to the centers.

This is an alias for transform().

Parameters

X	each row represents an instance

Returns

each row contains the distances to all centers

virtual Eigen::MatrixXd OpenANN::KMeans::transform ( const Eigen::MatrixXd &  X)

inlinevirtual

Transform the data.

Parameters

X	each row represents an instance

Returns

transformed data

Implements OpenANN::Transformer.

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

• OpenANN/KMeans.h