The basic idea is to build a map which contains the double and count values. Below is a n square solution that loop through the pool quad times. Be noticed that the second loop should base on the outer one, which is j = i as in code. Secondly, the duplicates need to be collected as well, which is the coincident as a variable name below.
/**
* Definition for a point.
* class Point {
* int x;
* int y;
* Point() { x = 0; y = 0; }
* Point(int a, int b) { x = a; y = b; }
* }
*/
public class Solution {
public int maxPoints(Point[] points) {
int maxLine = 0;
for (int i=0; i<(points.length-maxLine); i++) {
int coincident = 0;
Map<Double, Integer> pointCounts = new HashMap<Double, Integer>();
for (int j=i+1; j<points.length; j++) {
Double slope;
if (points[i].x==points[j].x && points[i].y==points[j].y) {
coincident++;
continue;
} else if (points[i].x == points[j].x) {
slope = Math.PI;
} else if (points[i].y == points[j].y) {
slope = 0.0; // logically we don't need this, but in practice i find that we do
} else {
slope = new Double((double)(points[i].y-points[j].y) / (double)(points[i].x-points[j].x));
}
if (pointCounts.containsKey(slope))
pointCounts.put(slope, pointCounts.get(slope)+1);
else
pointCounts.put(slope, new Integer(1));
}
maxLine = Math.max(maxLine, 1+coincident+maxValue(pointCounts));
}
return maxLine;
}
private int maxValue(Map<Double, Integer> doubleIntMap) {
int max = 0;
Set<Double> keys = doubleIntMap.keySet();
Iterator iter = keys.iterator();
while (iter.hasNext())
max = Math.max(max, doubleIntMap.get(iter.next()));
return max;
}
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