mlpack::metric Namespace Reference

Classes
class	IPMetric
	The inner product metric, IPMetric, takes a given Mercer kernel (KernelType), and when Evaluate() is called, returns the distance between the two points in kernel space: More...
class	LMetric
	The L_p metric for arbitrary integer p, with an option to take the root. More...
class	MahalanobisDistance
	The Mahalanobis distance, which is essentially a stretched Euclidean distance. More...

Typedefs
typedef LMetric< INT_MAX, false >	ChebyshevDistance
	The L-infinity distance. More...
typedef LMetric< 2, true >	EuclideanDistance
	The Euclidean (L2) distance. More...
typedef LMetric< 1, false >	ManhattanDistance
	The Manhattan (L1) distance. More...
typedef LMetric< 2, false >	SquaredEuclideanDistance
	The squared Euclidean (L2) distance. More...

Typedef Documentation

typedef LMetric<INT_MAX, false> mlpack::metric::ChebyshevDistance

The L-infinity distance.

Definition at line 117 of file lmetric.hpp.

typedef LMetric<2, true> mlpack::metric::EuclideanDistance

The Euclidean (L2) distance.

Definition at line 112 of file lmetric.hpp.

typedef LMetric<1, false> mlpack::metric::ManhattanDistance

The Manhattan (L1) distance.

Definition at line 101 of file lmetric.hpp.

typedef LMetric<2, false> mlpack::metric::SquaredEuclideanDistance

The squared Euclidean (L2) distance.

Note that this is not technically a metric! But it can sometimes be used when distances are required.

Definition at line 107 of file lmetric.hpp.