PointClusterer.java
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package org.mote.wiimote.whiteboard.calibration;
import java.util.HashSet;
import java.util.Map;
import java.util.Set;
import org.mote.wiimote.whiteboard.ds.IRDot;
import org.mote.wiimote.whiteboard.ds.Wiimote;
import org.mote.wiimote.whiteboard.preferences.WWPreferences;
public class PointClusterer {
static {
if (WWPreferences.WIIMOTES > 2)
throw new RuntimeException("Clustering for more than 2 Wiimotes not implemented yet.");
}
public static IRDot[][] cluster(Map<Wiimote, IRDot[]> data) {
IRDot[][] cluster = new IRDot[4][];
if (data.size() == 1) {
IRDot[] values = data.values().iterator().next();
int j = 0;
for (int i = 0; i < 4; i++)
if (values[i] != null)
cluster[j++] = new IRDot[] { values[i] };
return cluster;
}
Wiimote[] wiimotes = new Wiimote[data.keySet().size()];
data.keySet().toArray(wiimotes);
Set<IRDot> used = new HashSet<IRDot>();
int c = 0;
for (int a = 0; a < 2; a++) {
for (int i = 0; i < 4; i++) {
IRDot dot1 = data.get(wiimotes[a])[i];
if (dot1 == null || used.contains(dot1))
continue;
IRDot minDot = null;
double minDist = Double.POSITIVE_INFINITY;
for (int j = 0; j < 4; j++) {
IRDot dot2 = data.get(wiimotes[(a+1)%2])[j];
if (dot2 == null || used.contains(dot2))
continue;
double dist = dot1.distance(dot2);
if (dist < minDist) {
minDot = dot2;
minDist = dist;
}
}
used.add(dot1);
if (minDot == null) {
cluster[c++] = new IRDot[] { dot1 };
} else {
cluster[c++] = new IRDot[] { dot1, minDot };
used.add(minDot);
}
}
}
return cluster;
}
}