hmlp::gofmm::randomsplit< SPDMATRIX, N_SPLIT, T > Struct Template Reference

This the splitter used in the randomized tree. More...

#include <gofmm.hpp>

Inheritance diagram for hmlp::gofmm::randomsplit< SPDMATRIX, N_SPLIT, T >:

Public Member Functions
	randomsplit (SPDMATRIX &K)
vector< vector< size_t > >	operator() (vector< size_t > &gids) const

Public Attributes
SPDMATRIX *	Kptr = NULL
DistanceMetric	metric = ANGLE_DISTANCE

Detailed Description

template<typename SPDMATRIX, int N_SPLIT, typename T>
struct hmlp::gofmm::randomsplit< SPDMATRIX, N_SPLIT, T >

This the splitter used in the randomized tree.

end struct centersplit

Member Function Documentation

template<typename SPDMATRIX , int N_SPLIT, typename T >

vector<vector<size_t> > hmlp::gofmm::randomsplit< SPDMATRIX, N_SPLIT, T >::operator() ( vector< size_t > &  gids ) const

inline

overload with the operator

Randomly select two points p and q.

Compute all pairwise distances.

Member Data Documentation

template<typename SPDMATRIX , int N_SPLIT, typename T >

SPDMATRIX* hmlp::gofmm::randomsplit< SPDMATRIX, N_SPLIT, T >::Kptr = NULL

closure

template<typename SPDMATRIX , int N_SPLIT, typename T >

DistanceMetric hmlp::gofmm::randomsplit< SPDMATRIX, N_SPLIT, T >::metric = ANGLE_DISTANCE

(default) using angle distance from the Gram vector space

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

• /home/chenhany/Projects/hmlp/gofmm/gofmm.hpp