Statistic Module

Classes
class	imaging::LinearPca
	Linear principal component analysis. More...
Functions
void	imaging::mean (const ublas::matrix< float_t > &data, ublas::vector< float_t > &result)
void	imaging::var (const ublas::matrix< float_t > &data, ublas::vector< float_t > &result)
float_t	imaging::mean (const ublas::vector< float_t > &data)
float_t	imaging::var (const ublas::vector< float_t > &data)

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Detailed Description

The statistics module is a utility module which contains utility functions to compute means and variances. Additionally it includes an implementation of the linear principal component analysis (PCA).

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Function Documentation

float_t imaging::mean

(

const ublas::vector< float_t > &

data

)

#include <statistic/utilities.hpp>

Returns the mean of data.

void imaging::mean	(	const ublas::matrix< float_t > &	data,
		ublas::vector< float_t > &	result
	)

#include <statistic/utilities.hpp>

Computes the mean of each column of data and writes it to result. The vector result is resized to the number of columns of data upon return.

Referenced by imaging::var().

float_t imaging::var

(

const ublas::vector< float_t > &

data

)

#include <statistic/utilities.hpp>

Returns the variance data.

References imaging::mean(), and imaging::square().

void imaging::var	(	const ublas::matrix< float_t > &	data,
		ublas::vector< float_t > &	result
	)

#include <statistic/utilities.hpp>

Computes the variances of the columns of data and writes them to result. The vector result is resized to the number of columns of data upon return.

References imaging::mean(), and imaging::square().