Computes the generalized squared interpoint distance between vectors. More...

Inheritance diagram for BinaryStatistics::GeneralizedChiSquared:

Public Member Functions
double	get (const std::vector< double > &, const std::vector< double > &)
	Derived types define the value returned. More...

const std::vector< double > &	get_residual () const
	Return the residual.

GeneralizedChiSquared *	clone () const
	Derived types must also define clone method.

unsigned	get_neigen () const
	Return the number of eigenvalue/vector pairs.

Public Member Functions inherited from BinaryStatistic
	BinaryStatistic (const std::string &name, const std::string &description)
	Construct with a name and description.

void	set_file (FILE *f)
	Set the file to which auxiliary data will be printed.

Additional Inherited Members
Static Public Member Functions inherited from BinaryStatistic
static BinaryStatistic *	factory (const std::string &name)
	Create a new instance of BinaryStatistic based on name.

static const std::vector< BinaryStatistic * > &	children ()
	Returns a list of available BinaryStatistic children.

Protected Attributes inherited from BinaryStatistic
FILE *	fptr
	The file to which auxiliary data will be printed.

Detailed Description

Computes the generalized squared interpoint distance between vectors.

If one of the vectors is the mean of the distribution, than this distance is equivalent to the square of the Mahalanobis distance.

Member Function Documentation

double GeneralizedChiSquared::get	(	const std::vector< double > &	data1,
		const std::vector< double > &	data2
	)

virtual

Derived types define the value returned.

data1 and data2 must have been normalized such that a robust estimate of their variance is equal to unity

The documentation for this class was generated from the following files: