entropy Class Reference

Entropy measure for cluster similarity. More...

#include <distance.h>

Inheritance diagram for entropy:

List of all members.

Public Member Functions
	entropy ()
template<typename T >
double	operator() (T C1, T C2, int N)
double	h (double a, double n)
Public Attributes
int	N

---

Detailed Description

Entropy measure for cluster similarity.

Based on information theory.

---

Constructor & Destructor Documentation

entropy::entropy

(

)

[inline]

Constructor

---

Member Function Documentation

double entropy::h	(	double	a,
		double	n
	)		[inline]

Helper function for entropy calculation

Parameters:

a	The 'positives' or number of good results
n	Total number of possible results

template<typename T >

double entropy::operator()	(	T	C1,
		T	C2,
		int	N
	)		[inline]

Compute the similarity

Parameters:

C1	First cluster to compare
C2	Second cluster to compare
N	Network size (vertices)

Returns:

Entropy measure

Reimplemented from dist.

---

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

• distance.h