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@ -6,40 +6,53 @@ |
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#include "serialDeclarations.h" |
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void meanshift(double **originalPoints, int h, parameters *opt){ |
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void get_args(int argc, char **argv, int *h){ |
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if (argc != 6) { |
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printf("Usage: %s h N D Pd Pl\nwhere:\n", argv[0]); |
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printf("\th is the variance\n"); |
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printf("\tN is the the number of points\n"); |
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printf("\tD is the number of dimensions of each point\n"); |
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printf("\tPd is the path of the dataset file\n"); |
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printf("\tPl is the path of the labels file\n"); |
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exit(1); |
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} |
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*h = atoi(argv[1]); |
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NUMBER_OF_POINTS = atoi(argv[2]); |
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DIMENSIONS = atoi(argv[3]); |
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POINTS_FILENAME = argv[4]; |
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LABELS_FILENAME = argv[5]; |
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} |
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int meanshift(double **originalPoints, double ***shiftedPoints, int h |
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, parameters *opt, int iteration){ |
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double **y; |
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y = alloc_2d_double(ROWS, COLUMNS); |
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y = duplicate(originalPoints, y, ROWS, COLUMNS); |
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// allocates space and copies original points on first iteration
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if (iteration == 1){ |
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(*shiftedPoints) = alloc_2d_double(NUMBER_OF_POINTS, DIMENSIONS); |
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(*shiftedPoints) = duplicate(originalPoints, (*shiftedPoints) |
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, NUMBER_OF_POINTS, DIMENSIONS); |
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} |
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// mean shift vector
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double **meanShiftVector; |
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meanShiftVector = alloc_2d_double(ROWS, COLUMNS); |
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meanShiftVector = alloc_2d_double(NUMBER_OF_POINTS, DIMENSIONS); |
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// initialize elements of meanShiftVector to inf
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for (int i=0;i<ROWS;i++){ |
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for (int j=0;j<COLUMNS;j++){ |
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for (int i=0;i<NUMBER_OF_POINTS;i++){ |
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for (int j=0;j<DIMENSIONS;j++){ |
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meanShiftVector[i][j] = DBL_MAX; |
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} |
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} |
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// initialize iteration counter
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int iter = 0; |
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// printf("%f \n", opt->epsilon);
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double ** kernelMatrix = alloc_2d_double(ROWS, ROWS); |
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double *denominator = malloc(ROWS * sizeof(double)); |
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double **kernelMatrix = alloc_2d_double(NUMBER_OF_POINTS, NUMBER_OF_POINTS); |
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double *denominator = malloc(NUMBER_OF_POINTS * sizeof(double)); |
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/** iterate until convergence **/ |
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// printf("norm : %f \n", norm(m, ROWS, COLUMNS));
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while (norm(meanShiftVector, ROWS, COLUMNS) > opt->epsilon) { |
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iter = iter +1; |
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// find pairwise distance matrix (inside radius)
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// [I, D] = rangesearch(x,y,h);
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for (int i=0; i<ROWS; i++){ |
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for (int i=0; i<NUMBER_OF_POINTS; i++){ |
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double sum =0; |
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for (int j=0; j<ROWS; j++){ |
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double dist = calculateDistance(y[i],originalPoints[j]); |
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for (int j=0; j<NUMBER_OF_POINTS; j++){ |
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double dist = calculateDistance((*shiftedPoints)[i],originalPoints[j]); |
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if (i == j){ |
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kernelMatrix[i][j] = 1; |
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@ -57,25 +70,30 @@ void meanshift(double **originalPoints, int h, parameters *opt){ |
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} |
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// create new y vector
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double** y_new = alloc_2d_double(ROWS, COLUMNS); |
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double **y_new = alloc_2d_double(NUMBER_OF_POINTS, DIMENSIONS); |
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multiply(kernelMatrix, originalPoints, y_new); |
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// divide element-wise
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for (int i=0; i<ROWS; i++){ |
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for (int j=0; j<COLUMNS; j++){ |
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for (int i=0; i<NUMBER_OF_POINTS; i++){ |
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for (int j=0; j<DIMENSIONS; j++){ |
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y_new[i][j] = y_new[i][j] / denominator[i]; |
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// calculate mean-shift vector
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meanShiftVector[i][j] = y_new[i][j] - y[i][j]; |
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// update y
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y[i][j] = y_new[i][j]; |
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meanShiftVector[i][j] = y_new[i][j] - (*shiftedPoints)[i][j]; |
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} |
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} |
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shiftedPoints = &y_new; |
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save_matrix((*shiftedPoints), iteration); |
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save_matrix(y, iter); |
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double current_norm = norm(meanShiftVector, NUMBER_OF_POINTS, DIMENSIONS); |
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printf("Iteration n. %d, error %f \n", iteration, current_norm); |
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printf("Iteration n. %d, error %f \n", iter, norm(meanShiftVector, ROWS, COLUMNS)); |
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// TODO maybe keep y for live display later?
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/** iterate until convergence **/ |
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if (current_norm > opt->epsilon) { |
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return meanshift(originalPoints, shiftedPoints, h, opt, ++iteration); |
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} |
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return iteration; |
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} |
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// TODO check why there's is a difference in the norm calculate in matlab
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@ -92,12 +110,13 @@ double norm(double **matrix, int rows, int cols){ |
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} |
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void multiply(double **matrix1, double **matrix2, double **output){ |
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// W dims are ROWS ROWS and x dims are ROWS COLUMNS
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// W dims are NUMBER_OF_POINTS NUMBER_OF_POINTS
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// and x dims are NUMBER_OF_POINTS DIMENSIONS
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for (int i=0; i<ROWS; i++){ |
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for (int j=0; j<COLUMNS; j++){ |
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for (int i=0; i<NUMBER_OF_POINTS; i++){ |
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for (int j=0; j<DIMENSIONS; j++){ |
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output[i][j] = 0; |
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for (int k=0; k<ROWS; k++){ |
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for (int k=0; k<NUMBER_OF_POINTS; k++){ |
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output[i][j] += matrix1[i][k] * matrix2[k][j]; |
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} |
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} |
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@ -106,7 +125,7 @@ void multiply(double **matrix1, double **matrix2, double **output){ |
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double calculateDistance(double *y, double *x){ |
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double sum = 0, dif; |
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for (int i=0; i<COLUMNS; i++){ |
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for (int i=0; i<DIMENSIONS; i++){ |
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dif = y[i]-x[i]; |
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sum += dif * dif; |
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} |
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@ -142,15 +161,15 @@ void print_matrix(double **array, int rows, int cols){ |
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} |
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} |
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void save_matrix(double **matrix,int iteration){ |
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void save_matrix(double **matrix, int iteration){ |
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char filename[18]; |
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snprintf(filename, sizeof(filename), "%s%d", "output/output_", iteration); |
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FILE *iterOutput; |
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iterOutput = fopen(filename, "w"); |
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for (int rows=0; rows<ROWS; ++rows){ |
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for (int cols=0; cols<COLUMNS; ++cols){ |
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for (int rows=0; rows<NUMBER_OF_POINTS; ++rows){ |
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for (int cols=0; cols<DIMENSIONS; ++cols){ |
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fprintf(iterOutput, "%f", matrix[rows][cols]); |
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if (cols != COLUMNS - 1){ |
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if (cols != DIMENSIONS - 1){ |
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fprintf(iterOutput, ","); |
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} |
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} |
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