dbscan.txt

该源码是基于密度聚类分析的最经典的DBSCAN算法的原始结构框架

DBSCAN (SetOfPoints, Eps, MinPts)
// SetOfPoints is UNCLASSIFIED
ClusterId := nextId(NOISE);
FOR i FROM 1 TO SetOfPoints.size DO
Point := SetOfPoints.get(i);
IF Point.ClId = UNCLASSIFIED THEN
IF ExpandCluster(SetOfPoints, Point,
ClusterId, Eps, MinPts) THEN
ClusterId := nextId(ClusterId)
END IF
END IF
END FOR
END; // DBSCAN

ExpandCluster(SetOfPoints, Point, ClId, Eps,
MinPts) : Boolean;
seeds:=SetOfPoints.regionQuery(Point,Eps);
IF seeds.size<MinPts THEN // no core point
SetOfPoint.changeClId(Point,NOISE);
RETURN False;
ELSE // all points in seeds are density-
// reachable from Point
SetOfPoints.changeClIds(seeds,ClId);
seeds.delete(Point);
WHILE seeds <> Empty DO
currentP := seeds.first();
result := SetOfPoints.regionQuery(currentP,
Eps);
IF result.size >= MinPts THEN
FOR i FROM 1 TO result.size DO
resultP := result.get(i);
IF resultP.ClId
IN {UNCLASSIFIED, NOISE} THEN
IF resultP.ClId = UNCLASSIFIED THEN
seeds.append(resultP);
END IF;
SetOfPoints.changeClId(resultP,ClId);
END IF; // UNCLASSIFIED or NOISE
END FOR;
END IF; // result.size >= MinPts
seeds.delete(currentP);
END WHILE; // seeds <> Empty
RETURN True;
END IF
END; // ExpandCluster