ml::Clustering::KPP Class Reference

Implements the K++ algorithm. More...

#include <Clustering.hpp>

Inheritance diagram for ml::Clustering::KPP:

Collaboration diagram for ml::Clustering::KPP:

Public Member Functions
void	init (Eigen::Ref< const Eigen::MatrixXd > data, std::default_random_engine &prng, unsigned int number_components, Eigen::Ref< Eigen::MatrixXd > centroids) const override
	Initialises location of centroids. More...
Public Member Functions inherited from ml::Clustering::CentroidsInitialiser
virtual	~CentroidsInitialiser ()
	Virtual destructor.

Detailed Description

Implements the K++ algorithm.

See https://en.wikipedia.org/wiki/K-means%2B%2B

Member Function Documentation

init()

void ml::Clustering::KPP::init ( Eigen::Ref< const Eigen::MatrixXd >  data, std::default_random_engine &  prng, unsigned int  number_components, Eigen::Ref< Eigen::MatrixXd >  centroids  ) const

overridevirtual

Initialises location of centroids.

Parameters

[in]	data	Data matrix with data points in columns.
[in,out]	prng	Pseudo-random number generator.
[in]	number_components	Number of centroids. Must be less or equal to data.cols().
[out]	centroids	Destination matrix for centroid locations, with data.rows() rows and number_components columns.

Implements ml::Clustering::CentroidsInitialiser.

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

• ML/Clustering.hpp