mlpack  2.2.5
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

◆ ChebyshevDistance

typedef LMetric<INT_MAX, false> ChebyshevDistance

The L-infinity distance.

Definition at line 117 of file lmetric.hpp.

◆ EuclideanDistance

typedef LMetric<2, true> EuclideanDistance

The Euclidean (L2) distance.

Definition at line 112 of file lmetric.hpp.

◆ ManhattanDistance

typedef LMetric<1, false> ManhattanDistance

The Manhattan (L1) distance.

Definition at line 101 of file lmetric.hpp.

◆ SquaredEuclideanDistance

typedef LMetric<2, false> 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.