Uses of Class
weka.core.NormalizableDistance

Packages that use NormalizableDistance

weka.core

Uses of NormalizableDistance in weka.core

Subclasses of NormalizableDistance in weka.core

class	ChebyshevDistance Implements the Chebyshev distance.
class	EuclideanDistance Implementing Euclidean distance (or similarity) function. One object defines not one distance but the data model in which the distances between objects of that data model can be computed. Attention: For efficiency reasons the use of consistency checks (like are the data models of the two instances exactly the same), is low. For more information, see: Wikipedia.
class	ManhattanDistance Implements the Manhattan distance (or Taxicab geometry).
class	MinkowskiDistance Implementing Minkowski distance (or similarity) function. One object defines not one distance but the data model in which the distances between objects of that data model can be computed. Attention: For efficiency reasons the use of consistency checks (like are the data models of the two instances exactly the same), is low. For more information, see: Wikipedia.