void glintFinder::smoothBlob(ofxCvBlob& blob, int smoothingSize, float smoothingAmount) {
vector<ofPoint> ref = blob.pts;
vector<ofPoint>& cur = blob.pts;
int n = cur.size();
for(int i = 0; i < n; i++) {
cur[i].set(0, 0);
float weightSum = 0;
for(int j = 1; j <= smoothingSize; j++) {
int leftPosition = (n + i - j) % n;
int rightPosition = (i + j) % n;
ofPoint& left = ref[leftPosition];
ofPoint& right = ref[rightPosition];
float weight = ofMap(j, 0, smoothingSize, 1, smoothingAmount);
weightSum += weight;
cur[i] += (left + right) * weight;
}
ofPoint& center = ref[i];
cur[i] += center;
cur[i] /= 1 + 2 * weightSum;
}
recomputeCentroid(blob);
}
void selectSeeds(cluster* clusters, entryList &l, int k) {
int index = 0;
for(int i=0; i<l.size(); i++) {
index = i % k;
cluster &cl = clusters[index];
article_entry* e = l.get(i);
cl.members.add(e);
}
printf("Computing centroids ");
for(int i=0; i<k; i++) {
printf("%d ", i);
recomputeCentroid(clusters[i]);
}
printf("\n");
}
void clusterize(int k, entryList &l) {
printf("Clusterizing in %d clusters\n", k);
cluster *clusters = new cluster[k];
selectSeeds(clusters, l, k);
double RSS = printRSS(clusters, k);
double prevRSS = 1e+20;
int iterations = 0;
while(iterations < MAX_ITERATIONS && (prevRSS - RSS) > THRESHOLD) {
iterations++;
printf("Iteration %d\n", iterations);
// Clear cluster members.
for(int i=0; i<k; i++)
clusters[i].members.clear();
// Find the best cluster for each entry
// and add as a member
for(int i=0; i<l.size(); i++) {
article_entry* entry = l.get(i);
cluster& cl = findBestCluster(clusters, k, entry->v);
cl.members.add(entry);
}
// Recompute centroids
printf("Computing centroids ");
for(int i=0; i<k; i++) {
printf("%d ", i);
recomputeCentroid(clusters[i]);
}
printf("\n");
prevRSS = RSS;
RSS = printRSS(clusters, k);
}
delete[] clusters;
}
