OpenMS  2.7.0
Public Member Functions | Private Attributes | List of all members
EuclideanSimilarity Class Reference

CompareFunctor for 2Dpoints. More...

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

Collaboration diagram for EuclideanSimilarity:
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Public Member Functions

 EuclideanSimilarity ()
 default constructor More...
 
 EuclideanSimilarity (const EuclideanSimilarity &source)
 copy constructor More...
 
virtual ~EuclideanSimilarity ()
 destructor More...
 
EuclideanSimilarityoperator= (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]

default constructor

◆ EuclideanSimilarity() [2/2]

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
aa pair of float, giving the x and the y coordinates of the first point
ba 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
ca 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
xfloat value to scale the result
Exceptions
Exception::DivisionByZeroif 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