Exercise 3 for the course "Parallel and distributed systems" of THMMY in AUTH university.
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#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <float.h>
#include <string.h>
#include "meanshift_declarations.h"
void get_args(int argc, char **argv, int *h){
if (argc != 6) {
printf("Usage: %s h N D Pd Pl\nwhere:\n", argv[0]);
printf("\th is the variance\n");
printf("\tN is the the number of points\n");
printf("\tD is the number of dimensions of each point\n");
printf("\tPd is the path of the dataset file\n");
printf("\tPl is the path of the labels file\n");
exit(1);
}
*h = atoi(argv[1]);
NUMBER_OF_POINTS = atoi(argv[2]);
DIMENSIONS = atoi(argv[3]);
POINTS_FILENAME = argv[4];
LABELS_FILENAME = argv[5];
}
// TODO check why there's is a difference in the norm calculate in matlab
double norm(double **matrix, int rows, int cols){
double sum=0, temp_mul=0;
for (int i=0; i<rows; i++) {
for (int j=0; j<cols; j++) {
temp_mul = matrix[i][j] * matrix[i][j];
sum = sum + temp_mul;
}
}
double norm = sqrt(sum);
return norm;
}
double **alloc_2d_double(int rows, int cols) {
double *data = (double *) malloc(rows*cols*sizeof(double));
double **array = (double **) malloc(rows*sizeof(double*));
for (int i=0; i<rows; i++)
array[i] = &(data[cols*i]);
return array;
}
void duplicate(double **source, int rows, int cols, double ***dest){
for (int i=0; i<rows; i++){
for (int j=0; j<cols; j++){
(*dest)[i][j] = source[i][j];
}
}
}
void print_matrix(double **array, int rows, int cols){
for (int i=0; i<cols; i++){
for (int j=0; j<rows; j++){
printf("%f ", array[j][i]);
}
printf("\n");
}
}
void save_matrix(double **matrix, int iteration){
char filename[18];
snprintf(filename, sizeof(filename), "%s%d", "output/output_", iteration);
FILE *file;
file = fopen(filename, "w");
for (int rows=0; rows<NUMBER_OF_POINTS; ++rows){
for (int cols=0; cols<DIMENSIONS; ++cols){
fprintf(file, "%f", matrix[rows][cols]);
if (cols != DIMENSIONS - 1){
fprintf(file, ",");
}
}
fprintf(file, "\n");
}
}