Title :
A New Algorithm for Ordering of Points to Identify Clustering Structure Based on Perimeter of Triangle: OPTICS(BOPT)
Author :
Kalita, Hemanta Kumar ; Bhattacharyya, Dhruba Kumar ; Kar, Avijit
Author_Institution :
Performance Eng. Res. Center, Mumbai
Abstract :
The process of grouping (or partitioning) a set of physical or abstract objects into classes of similar objects is known as clustering. By applying clustering method it is possible to identify dense & sparse regions, discover overall distribution pattern and interesting correlations amongst data in a data set. In this paper we propose a new, semiautomatic clustering algorithm called-ordering of points to identify clustering structure based on perimeter of triangle : OPTICS(BOPT). Our method can be used in both numeric as well as categorical data and shows clusters part-by-part.
Keywords :
computational geometry; data mining; pattern clustering; OPTICS-BOPT; categorical data; clustering structure identification; data mining; pattern distribution; points ordering; semiautomatic clustering algorithm; triangle perimeter; Business communication; Cats; Clustering algorithms; Clustering methods; Computer science; Data mining; Data preprocessing; Databases; Humans; Physics computing;
Conference_Titel :
Advanced Computing and Communications, 2007. ADCOM 2007. International Conference on
Conference_Location :
Guwahati, Assam
Print_ISBN :
0-7695-3059-1
DOI :
10.1109/ADCOM.2007.111
