knncolle::KmknnOptions< Dim_, Index_, Store_ > Struct Template Reference

Options for KmknnBuilder and KmknnPrebuilt construction. More...

#include <Kmknn.hpp>

Public Attributes
double	power = 0.5
std::shared_ptr< kmeans::Initialize< kmeans::SimpleMatrix< Store_, Index_, Dim_ >, Index_, Store_ > >	initialize_algorithm
std::shared_ptr< kmeans::Refine< kmeans::SimpleMatrix< Store_, Index_, Dim_ >, Index_, Store_ > >	refine_algorithm

Detailed Description

template<typename Dim_ = int, typename Index_ = int, typename Store_ = double>
struct knncolle::KmknnOptions< Dim_, Index_, Store_ >

Options for KmknnBuilder and KmknnPrebuilt construction.

This can also be created via the KmknnBuilder::Options definition, which ensures consistency with the template parameters used in KmknnBuilder.

Template Parameters

Dim_	Integer type for the number of dimensions. When constructing a KmknnBuilder, this should be the same as Matrix_::dimension_type.
Index_	Integer type for the indices. When constructing a KmknnBuilder, this should be the same as Matrix_::index_type.
Store_	Floating point type for the stored data. When constructing a KmknnBuilder, this should be the same as Matrix_::data_type.

Member Data Documentation

initialize_algorithm

template<typename Dim_ = int, typename Index_ = int, typename Store_ = double>

std::shared_ptr<kmeans::Initialize<kmeans::SimpleMatrix<Store_, Index_, Dim_>, Index_, Store_> > knncolle::KmknnOptions< Dim_, Index_, Store_ >::initialize_algorithm

Initialization method for the k-means clustering. If NULL, defaults to kmeans::InitializeKmeanspp.

power

template<typename Dim_ = int, typename Index_ = int, typename Store_ = double>

double knncolle::KmknnOptions< Dim_, Index_, Store_ >::power = 0.5

Power of the number of observations, to define the number of cluster centers. By default, a square root is performed.

refine_algorithm

template<typename Dim_ = int, typename Index_ = int, typename Store_ = double>

std::shared_ptr<kmeans::Refine<kmeans::SimpleMatrix<Store_, Index_, Dim_>, Index_, Store_> > knncolle::KmknnOptions< Dim_, Index_, Store_ >::refine_algorithm

Refinement method for the k-means clustering. If NULL, defaults to kmeans::RefineHartiganWong.

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

• knncolle/Kmknn.hpp