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Description
Class Summary  

ArithmeticMean  Class that computes the arithmetic mean of the given column distances. 
DistanceSum  Sets the overall distance to the sum of the column distances. 
EuclideanDistance  Class for computation of the Euclidean distance of two vectors. 
ManhattanDistance  Class for computation of the Manhattan distance of two vectors. 
Mathematics  This class contains a collection of mathematical functions like the faculty, logarithms and several trigonometric functions. 
MatrixOperations  Class used to perform matrix operations, focusing on finding vector solutions to the vector equation F(x) = 0. 
MeanFunction  In this class functions for the computation of an overall distance based on the distance values determined for each column of a table are defined. 
N_Metric  An implementation of an nmetric. 
PearsonCorrelation  Implementation of the Pearson correlation. 
QualityMeasure  This class is the basis of various implementations of distance functions. 
Relative_N_Metric  Computes the relative distance of two vectors based on the N_Metric
distance. 
RelativeEuclideanDistance  Class for computation of the relative Euclidean distance of two vectors. 
RelativeManhattanDistance  Class for computation of the relative Manhattan distance of two vectors. 
RelativeSquaredError  An implementation of the relative squared error with a default value to avoid division by zero. 
RNG  A Random Number Generator. 
Exception Summary  

MatrixOperations.MatrixException  This exception is thrown when errors in the computation of matrixrelated solutions, their eigenvalues or eigenvectors. 
Classes that contain several mathematical operations.

Generated at March 17 2014 Version 1.4 Revision 453 

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