EuclideanSimilarity Class Reference

CompareFunctor for 2Dpoints. More...

#include <OpenMS/ML/CLUSTERING/EuclideanSimilarity.h>

Collaboration diagram for EuclideanSimilarity:

Public Member Functions
	EuclideanSimilarity ()
	default constructor More...
	EuclideanSimilarity (const EuclideanSimilarity &source)
	copy constructor More...
virtual	~EuclideanSimilarity ()
	destructor More...
EuclideanSimilarity &	operator= (const EuclideanSimilarity &source)
	assignment operator More...
float	operator() (const std::pair< float, float > &a, const std::pair< float, float > &b) const
	calculates similarity between two points in euclidean space More...
float	operator() (const std::pair< float, float > &c) const
	calculates self similarity, will yield 0 More...
void	setScale (float x)
	clusters the indices according to their respective element distances More...

Private Attributes
float	scale_

Detailed Description

CompareFunctor for 2Dpoints.

each 2D point as a pair of float holds a float coordinate for each Dimension

Constructor & Destructor Documentation

EuclideanSimilarity() [1/2]

EuclideanSimilarity

(

)

default constructor

EuclideanSimilarity() [2/2]

EuclideanSimilarity

(

const EuclideanSimilarity &

source

)

copy constructor

~EuclideanSimilarity()

virtual ~EuclideanSimilarity ( )

virtual

destructor

Member Function Documentation

operator()() [1/2]

float operator()	(	const std::pair< float, float > &	a,
		const std::pair< float, float > &	b
	)		const

calculates similarity between two points in euclidean space

Parameters

a	a pair of float, giving the x and the y coordinates of the first point
b	a pair of float, giving the x and the y coordinates of the second point

calculates similarity from the euclidean distance between given 2D points, scaled in [0,1]

See also

setScale

operator()() [2/2]

float operator()

(

const std::pair< float, float > &

c

)

const

calculates self similarity, will yield 0

Parameters

c	a pair of float, giving the x and the y coordinates

operator=()

EuclideanSimilarity& operator=

(

const EuclideanSimilarity &

source

)

assignment operator

setScale()

void setScale

(

float

x

)

clusters the indices according to their respective element distances

Parameters

x	float value to scale the result

Exceptions

Exception::DivisionByZero

if scaling is inapplicable because it is 0

sets the scale so that similarities can be correctly calculated from distances. Should be set so that the greatest distance in a chosen set will be scales to 1 (i.e. x = greatest possible distance in the set)

Member Data Documentation

scale_

float scale_

private