blob: 8b143e987871c013c6dc47968a6e29485bbe9695 [file] [log] [blame]
// Copyright 2013 Google Inc. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <stdlib.h>
#include <time.h>
const long long max_size = 2000; // max length of strings
const long long N = 10; // number of closest words that will be shown
const long long max_w = 50; // max length of vocabulary entries
#define MAX_STRING 100
void ReadWord(char *word, FILE *fin) {
int a = 0, ch;
while (!feof(fin)) {
ch = fgetc(fin);
if (ch == 13) continue;
if ((ch == ' ') || (ch == '\t') || (ch == '\n')) {
if (a > 0) {
if (ch == '\n') ungetc(ch, fin);
break;
}
if (ch == '\n') {
strcpy(word, (char *)"</s>");
return;
} else continue;
}
word[a] = ch;
a++;
if (a >= MAX_STRING - 1) a--; // Truncate too long words
}
word[a] = 0;
}
int main(int argc, char **argv) {
FILE *f;
char st1[max_size];
char *bestw[N];
char file_name[max_size], st[100][max_size];
float dist, len, bestd[N], bestclasses[N], vec[max_size];
int bestclasses_ids[N];
long long words, size, a, b, c, d, e, cn, bi[100];
float *M;
char *vocab;
char word[MAX_STRING];
clock_t begin;
if (argc < 2) {
printf("Usage: ./kmeans_txt <FILE>\nwhere FILE contains features\n <number_of_classes>");
return 0;
}
strcpy(file_name, argv[1]);
int classes = atoi(argv[2]);
f = fopen(file_name, "rb");
if (f == NULL) {
printf("Input file not found\n");
return -1;
}
printf("reading data\n");
ReadWord(word, f);
words = atoi(word);
ReadWord(word, f);
size = atoi(word);
vocab = (char *)malloc((long long)words * max_w * sizeof(char));
for (a = 0; a < N; a++) bestw[a] = (char *)malloc(max_size * sizeof(char));
M = (float *)malloc((long long)words * (long long)size * sizeof(float));
if (M == NULL) {
printf("Cannot allocate memory: %lld MB %lld %lld\n", (long long)words * size * sizeof(float) / 1048576, words, size);
return -1;
}
for (b = 0; b < words; b++) {
a = 0;
while (1) {
vocab[b * max_w + a] = fgetc(f);
if (feof(f) || (vocab[b * max_w + a] == ' ')) break;
if ((a < max_w) && (vocab[b * max_w + a] != '\n')) a++;
}
vocab[b * max_w + a] = 0;
for (a = 0; a < size; a++) {
ReadWord(word,f);
M[a + b * size] = atof(word);
}
len = 0;
for (a = 0; a < size; a++) len += M[a + b * size] * M[a + b * size];
len = sqrt(len);
for (a = 0; a < size; a++) M[a + b * size] /= len;
}
fclose(f);
//run kmeans
printf("running k-means with %i classes...\n",classes);
int clcn = classes, iter = 10, closeid;
int *centcn = (int *)malloc(classes * sizeof(int));
int *cl = (int *)calloc(words, sizeof(int));
float closev, x;
float *cent = (float *)calloc(classes * size, sizeof(float));
for (a = 0; a < words; a++) cl[a] = a % clcn;
for (a = 0; a < iter; a++) {
for (b = 0; b < clcn * size; b++) cent[b] = 0;
for (b = 0; b < clcn; b++) centcn[b] = 1;
for (c = 0; c < words; c++) {
for (d = 0; d < size; d++) cent[size * cl[c] + d] += M[c * size + d];
centcn[cl[c]]++;
}
for (b = 0; b < clcn; b++) {
closev = 0;
for (c = 0; c < size; c++) {
cent[size * b + c] /= centcn[b];
closev += cent[size * b + c] * cent[size * b + c];
}
closev = sqrt(closev);
for (c = 0; c < size; c++) cent[size * b + c] /= closev;
}
for (c = 0; c < words; c++) {
closev = -10;
closeid = 0;
for (d = 0; d < clcn; d++) {
x = 0;
for (b = 0; b < size; b++) x += cent[size * d + b] * M[c * size + b];
if (x > closev) {
closev = x;
closeid = d;
}
}
cl[c] = closeid;
}
}
// build an array of words ordered by class and their offsets (index where each class starts)
int class_words[words];
int class_offsets[classes];
for(a = 0; a < classes; a++) class_offsets[a]=0;
for(a = 0; a < words; a++) class_offsets[cl[a]]++;
for(a = 1; a < classes; a++) class_offsets[a] += class_offsets[a-1];
for(a = 0; a < words; a++) class_words[--class_offsets[cl[a]]] = a;
//reading from input
while (1) {
for (a = 0; a < N; a++) bestd[a] = 0;
for (a = 0; a < N; a++) bestclasses[a] = 0;
for (a = 0; a < N; a++) bestw[a][0] = 0;
printf("Enter word or sentence (EXIT to break): ");
a = 0;
while (1) {
st1[a] = fgetc(stdin);
if ((st1[a] == '\n') || (a >= max_size - 1)) {
st1[a] = 0;
break;
}
a++;
}
if (!strcmp(st1, "EXIT")) break;
cn = 0;
b = 0;
c = 0;
while (1) {
st[cn][b] = st1[c];
b++;
c++;
st[cn][b] = 0;
if (st1[c] == 0) break;
if (st1[c] == ' ') {
cn++;
b = 0;
c++;
}
}
cn++;
for (a = 0; a < cn; a++) {
for (b = 0; b < words; b++) if (!strcmp(&vocab[b * max_w], st[a])) break;
if (b == words) b = -1;
bi[a] = b;
printf("\nWord: %s Position in vocabulary: %lld\n", st[a], bi[a]);
if (b == -1) {
printf("Out of dictionary word!\n");
break;
}
}
if (b == -1) continue;
begin = clock();
printf("\n Word Cosine distance\n------------------------------------------------------------------------\n");
for (a = 0; a < size; a++) vec[a] = 0;
for (b = 0; b < cn; b++) {
if (bi[b] == -1) continue;
for (a = 0; a < size; a++) vec[a] += M[a + bi[b] * size];
}
len = 0;
for (a = 0; a < size; a++) len += vec[a] * vec[a];
len = sqrt(len);
for (a = 0; a < size; a++) vec[a] /= len;
// find top N centroids
for (a = 0; a < N; a++) bestclasses[a] = -1;
for (a = 0; a < N; a++) bestclasses_ids[a] = -1;
for (c = 0; c < classes; c++){
dist = 0;
for (a = 0; a < size; a++) dist += vec[a] * cent[a + size * c];
for (a = 0; a < N; a++) {
if (dist > bestclasses[a]) {
for(d = N - 1; d > a; d--){
bestclasses[d] = bestclasses[d-1];
bestclasses_ids[d] = bestclasses_ids[d-1];
}
bestclasses[a] = dist;
bestclasses_ids[a] = c;
break;
}
}
}
// find top N words in the centroids
for (a = 0; a < N; a++) bestd[a] = -1;
for (a = 0; a < N; a++) bestw[a][0] = 0;
for (a = 0; a < N; a++){
c = words;
if(bestclasses_ids[a] < classes-1) c = class_offsets[bestclasses_ids[a]+1];
b = class_offsets[bestclasses_ids[a]];
for(; b < c; b++){
dist = 0;
for (d = 0; d < size; d++) dist += vec[d] * M[d + class_words[b] * size];
for (d = 0; d < N; d++){
if(dist > bestd[d]){
for (e = N -1; e > d; e--){
bestd[e] = bestd[e-1];
strcpy(bestw[e], bestw[e-1]);
}
bestd[d] = dist;
strcpy(bestw[d], &vocab[class_words[b] * max_w]);
break;
}
}
}
}
for (a = 0; a < N; a++) printf("%50s\t\t%f\n", bestw[a], bestd[a]);
printf("time spent = %f seconds\n", (double)(clock() - begin) / CLOCKS_PER_SEC);
}
// Save the K-means classes
free(centcn);
free(cent);
free(cl);
//start running distance
return 0;
}