代码搜索：Entropy
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www.eeworm.com/read/461070/7235030
cpp entropy.cpp
#include
#include
#include
#include "global.h"
#include "entropy.h"
/*---------------------------------------------------------------------------*/
/*------------
www.eeworm.com/read/458398/7297080
m entropy.m
function h=entropy(p)
% H=ENTROPY(P) returns the entropy function of
% the probability vector p.
if length(find(p
www.eeworm.com/read/458010/7314267
m entropy.m
function h=entropy(p,dim,cond,arg,step)
%ENTROPY calculates the entropy of discrete and sampled continuous distributions H=(P,DIM,COND,ARG,STEP)
%
% Inputs: P is a vector or matrix of prob
www.eeworm.com/read/456354/7351361
m entropy.m
function h=entropy(p)
% H=ENTROPY(P) returns the entropy function of
% the probability vector P.
if length(find(p1
www.eeworm.com/read/456354/7351403
m entropy.m
function h=entropy(p)
% H=ENTROPY(P) returns the entropy function of
% the probability vector P.
if length(find(p1
www.eeworm.com/read/454457/7390049
c entropy.c
/*
* Copyright (C) 1993 Eric E. Moore and Thomas W. Strong
*
* All rights reserved. Any unauthorized distribution of this
* program is prohibited.
*/
#include "header.h"
www.eeworm.com/read/453558/7417038
java entropy.java
package shared;
import java.lang.*;
import java.util.*;
/** This class handles all of the Entropy based calculations. All logs
* are base 2 (other bases just scale the entropy). The reason for
www.eeworm.com/read/449281/7515123
hpp entropy.hpp
/*************************************************************************
This software module was originally developed by
Ming-Chieh Lee (mingcl@microsoft.com), Microsoft Corporation
Wei-g
www.eeworm.com/read/449243/7516400
hpp entropy.hpp
/*************************************************************************
This software module was originally developed by
Ming-Chieh Lee (mingcl@microsoft.com), Microsoft Corporation
Wei-g
www.eeworm.com/read/448350/7534492
m entropy.m
function h=entropy(p,dim,cond,arg,step)
%ENTROPY calculates the entropy of discrete and sampled continuous distributions H=(P,DIM,COND,ARG,STEP)
%
% Inputs: P is a vector or matrix of prob