#include <center_chooser.h>
Public Types | |
typedef Distance::ResultType | DistanceType |
typedef Distance::ElementType | ElementType |
Public Types inherited from rtflann::CenterChooser< Distance > | |
typedef Distance::ResultType | DistanceType |
typedef Distance::ElementType | ElementType |
Public Member Functions | |
KMeansppCenterChooser (const Distance &distance, const std::vector< ElementType * > &points) | |
void | operator() (int k, int *indices, int indices_length, int *centers, int ¢ers_length) |
Public Member Functions inherited from rtflann::CenterChooser< Distance > | |
CenterChooser (const Distance &distance, const std::vector< ElementType * > &points) | |
void | setDataSize (size_t cols) |
virtual | ~CenterChooser () |
Additional Inherited Members | |
Protected Attributes inherited from rtflann::CenterChooser< Distance > | |
size_t | cols_ |
const Distance | distance_ |
const std::vector< ElementType * > & | points_ |
Chooses the initial centers using the algorithm proposed in the KMeans++ paper: Arthur, David; Vassilvitskii, Sergei - k-means++: The Advantages of Careful Seeding
Definition at line 211 of file center_chooser.h.
typedef Distance::ResultType rtflann::KMeansppCenterChooser< Distance >::DistanceType |
Definition at line 215 of file center_chooser.h.
typedef Distance::ElementType rtflann::KMeansppCenterChooser< Distance >::ElementType |
Definition at line 214 of file center_chooser.h.
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inline |
Definition at line 221 of file center_chooser.h.
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inlinevirtual |
Chooses cluster centers
k | number of centers to choose |
indices | indices of points to choose the centers from |
indices_length | length of indices |
centers | indices of chosen centers |
centers_length | length of centers array |
Implements rtflann::CenterChooser< Distance >.
Definition at line 224 of file center_chooser.h.