EOPTICS - Enhancement Ordering Points to Identify the Clustering Structure?

Grouping a set of physical or abstract objects into classes of similar objects is a process of clustering. Clustering is very important technique in statistical data analysis. Among the clustering methods, density-based methods are critical because of their ability to recognize clusters with arbitrarily shape. In particular, OPTICS density-based method is an improvement upon DBSCAN. It addresses the major DBSCAN's weakness, which is the problem of detecting clusters in data of varying density. OPTICS defines the core distance which is the shortest distance from the core that contains the minimum number of points. Those points within the radius of the core distance may contain points far from the core than all the other points located within the same core distance.

Provided by: International Journal of Computer Applications Topic: Big Data Date Added: Feb 2012 Format: PDF

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