DBSCAN

example1	example2

Load

<script type="text/javascript" src="/* path */dbscan.js"></script>

DataFormat

var Data = [
 [0.5, 0.7],
 [3.6, 0.11],
 ...
];

Docs

  Constructor

• DBSCAN(args)

var dbscan = DBSCAN( { eps : 3, minpts : 5, data : [[0.5], [0.6], ... ] });

• args Object
  • eps Number : Epsilon.
  • minpts Number : Minimum number of points required to form a dense region.
  • data Array : Array of data points.

   Methods

• clustering(dist, callback)

/* Clustring. */
dbscan.clustering(dbscan.euclidean, render);

• dist Function : Distance function.
• callback Function : Function that is called after Clustering.

• euclidean(pointA, pointB)

/* Euclidean distance function. */
var dist = dbscan.euclidean(pointA, pointB);

• pointA Array<Number> : point.
• pointB Array<Number> : point.

• manhattan(pointA, pointB)

/* Manhattan distance function. */
var dist = dbscan.manhattan( pointA, pointB);

• pointA Array<Number> : point.
• pointB Array<Number> : point.