kmeans::InitializeRandom< Index_, Data_, Cluster_, Float_, Matrix_ > Class Template Reference

Initialize by sampling random observations without replacement. More...

#include <InitializeRandom.hpp>

Inheritance diagram for kmeans::InitializeRandom< Index_, Data_, Cluster_, Float_, Matrix_ >:

Collaboration diagram for kmeans::InitializeRandom< Index_, Data_, Cluster_, Float_, Matrix_ >:

Public Member Functions
	InitializeRandom (InitializeRandomOptions options)
	InitializeRandom ()=default
InitializeRandomOptions &	get_options ()
Public Member Functions inherited from kmeans::Initialize< Index_, Data_, Cluster_, Float_, Matrix_ >
virtual Cluster_	run (const Matrix_ &data, Cluster_ num_centers, Float_ *centers) const =0

Detailed Description

template<typename Index_, typename Data_, typename Cluster_, typename Float_, class Matrix_ = Matrix<Index_, Data_>>
class kmeans::InitializeRandom< Index_, Data_, Cluster_, Float_, Matrix_ >

Initialize by sampling random observations without replacement.

Template Parameters

Index_	Integer type for the observation indices in the input dataset.
Data_	Numeric type for the input dataset.
Cluster_	Integer type for the cluster assignments.
Float_	Floating-point type for the centroids. This will also be used for any internal distance calculations.
Matrix_	Class of the input data matrix. This should satisfy the Matrix interface.

Constructor & Destructor Documentation

InitializeRandom() [1/2]

template<typename Index_ , typename Data_ , typename Cluster_ , typename Float_ , class Matrix_ = Matrix<Index_, Data_>>

kmeans::InitializeRandom< Index_, Data_, Cluster_, Float_, Matrix_ >::InitializeRandom ( InitializeRandomOptions options )

inline

Parameters

options

Options for random initialization.

InitializeRandom() [2/2]

template<typename Index_ , typename Data_ , typename Cluster_ , typename Float_ , class Matrix_ = Matrix<Index_, Data_>>

kmeans::InitializeRandom< Index_, Data_, Cluster_, Float_, Matrix_ >::InitializeRandom ( )

default

Default constructor.

Member Function Documentation

get_options()

template<typename Index_ , typename Data_ , typename Cluster_ , typename Float_ , class Matrix_ = Matrix<Index_, Data_>>

InitializeRandomOptions & kmeans::InitializeRandom< Index_, Data_, Cluster_, Float_, Matrix_ >::get_options ( )

inline

Returns

Options for random initialization, to be modified prior to calling run().

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

• kmeans/InitializeRandom.hpp