indii/ml/aux/kde.hpp File Reference

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Detailed Description

Provides convenience methods for working with kernel density approximations.

Definition in file kde.hpp.

Go to the source code of this file.

Namespaces
namespace	indii
namespace	indii::ml
namespace	indii::ml::aux
Functions
double	hopt (const unsigned int N, const unsigned int P)
	Calculate .
template<class NT, class KT, class PT>
vector	dualTreeDensity (PT &queryTree, PT &targetTree, const vector &w, const NT &N, const KT &K, const bool normalise=true)
	Dual-tree kernel density evaluation.
template<class NT, class KT, class PT>
vector	distributedDualTreeDensity (PT &queryTree, PT &targetTree, const vector &w, const NT &N, const KT &K, const bool normalise=true)
	Distributed dual-tree kernel density evaluation.
template<class NT, class KT, class PT>
vector	selfTreeDensity (PT &tree, const vector &w, const NT &N, const KT &K, const bool normalise=true)
	Self-tree kernel density evaluation.
template<class NT, class KT, class PT>
vector	distributedSelfTreeDensity (PT &tree, const vector &w, const NT &N, const KT &K, const bool normalise=true)
	Distributed self-tree kernel density evaluation.
template<class NT, class KT, class PT>
matrix	dualTreeDensity (PT &queryTree, PT &targetTree, const matrix &ws, const NT &N, const KT &K, const bool normalise=true)
	Dual-tree kernel density evaluation with multiple mixture model weights.
template<class NT, class KT, class PT>
matrix	distributedDualTreeDensity (PT &queryTree, PT &targetTree, const matrix &ws, const NT &N, const KT &K, const bool normalise=true)
	Distributed dual-tree kernel density evaluation with multiple mixture model weights.
template<class NT, class KT, class PT>
matrix	selfTreeDensity (PT &tree, const matrix &ws, const NT &N, const KT &K, const bool normalise=true)
	Self-tree kernel density evaluation with multiple mixture model weights.
template<class NT, class KT, class PT>
matrix	distributedSelfTreeDensity (PT &tree, const matrix &ws, const NT &N, const KT &K, const bool normalise=true)
	Distributed self tree kernel density evaluation with multiple mixture model weights.
template<class NT, class KT, class PT>
void	crossTreeDensity (PT &tree1, PT &tree2, const matrix &ws1, const matrix &ws2, const NT &N, const KT &K, matrix &result1, matrix &result2, const bool clear=true, const bool normalise=true)
	Cross-tree kernel density evaluation with multiple mixture model weights.

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