Title :
Environment based clustering. A new approach
Author :
Lanzarini, Laura ; De Giusti, Armando
Author_Institution :
Fac. of Comput. Sci., Univ. Nacional de La Plata
Abstract :
There are a variety of problems that require an automatic classification of a set of data. In this sense, clustering techniques have been widely applied, since they are known for forming classes or groups using a predefined similarity measure. This paper defines a new method which, as opposed to the solutions found so far, does not require any previous information about the data to be classified. The performance of this new proposal has been compared with a winner-take-all type method (WTA), which is widely used in clustering processes, and with the cluster-detection-and-labeling (CDL) method (Torbjorn, 1998), with satisfactory results
Keywords :
pattern classification; pattern clustering; automatic classification; cluster-detection-labeling method; environment based clustering; pattern classification; winner-take-all type method; Electronic mail; Image segmentation; Laboratories; Medical diagnosis; Pattern analysis; Pattern classification; Proposals; Radar applications; Sonar applications; Sonar measurements;
Conference_Titel :
Image and Signal Processing and Analysis, 2000. IWISPA 2000. Proceedings of the First International Workshop on
Conference_Location :
Pula
Print_ISBN :
953-96769-2-4
DOI :
10.1109/ISPA.2000.914894
