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April 3, 2011 13:58
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정보 엔트로피 구하기 (DIPS Homework #2 2.)
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#include <stdio.h> | |
#include <string.h> | |
#include <math.h> | |
#define ASCII 128 | |
// base를 밑으로 하는 x의 로그 | |
double logB(double x, double base) | |
{ | |
return log(x) / log(base); | |
} | |
double entropy(char* string) | |
{ | |
int i, length = strlen(string), matrix[ASCII] = {0}; | |
double result = 0.0f; | |
// ASCII 범위 내에서 문자 카운트 | |
for(i = 0; i < length; i++) | |
{ | |
matrix[string[i]]++; | |
} | |
// 문자의 수와 확률, 정보량 출력 | |
printf("symbol\tprob.\tInformation(=surprisal)\n"); | |
for(i = 0; i < ASCII; i++) | |
{ | |
if(matrix[i] != 0) | |
{ | |
double t = (double)matrix[i]/length; | |
printf("%c: %d\t%f\t%f\n", i, matrix[i], t, logB(1/t,2)); | |
result = result + t * logB(1/t,2); | |
} | |
} | |
return result; | |
} | |
int main(int argc, char* argv[]) | |
{ | |
double e = 0.0f; | |
// entropy [string] <return> | |
if( argc != 2 ) | |
{ | |
printf("usage: %s [string]\n", argv[0]); | |
return -1; | |
} | |
// 엔트로피 계산 | |
e = entropy(argv[1]); | |
printf("Total entropy = %f (bits)\n", e); | |
return 0; | |
} |
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