Kmknn.hpp File Reference

Implements the k-means with k-nearest neighbors (KMKNN) algorithm. More...

#include "distances.hpp"
#include "NeighborQueue.hpp"
#include "Prebuilt.hpp"
#include "Builder.hpp"
#include "MockMatrix.hpp"
#include "report_all_neighbors.hpp"
#include "kmeans/kmeans.hpp"
#include <algorithm>
#include <vector>
#include <memory>
#include <limits>
#include <cmath>

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Classes
struct	knncolle::KmknnOptions< Dim_, Index_, Store_ >
	Options for KmknnBuilder and KmknnPrebuilt construction. More...
class	knncolle::KmknnSearcher< Distance_, Dim_, Index_, Store_, Float_ >
	KMKNN searcher. More...
class	knncolle::KmknnPrebuilt< Distance_, Dim_, Index_, Store_, Float_ >
	Index for a KMKNN search. More...
class	knncolle::KmknnBuilder< Distance_, Matrix_, Float_ >
	Perform a nearest neighbor search based on k-means clustering. More...

Namespaces
namespace	knncolle
	Collection of KNN algorithms.

Detailed Description

Implements the k-means with k-nearest neighbors (KMKNN) algorithm.