Environment based clustering. A new approach

Author

Lanzarini, Laura ; De Giusti, Armando

Author_Institution

Fac. of Comput. Sci., Univ. Nacional de La Plata

fYear

2000

fDate

2000

Firstpage

75

Lastpage

80

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ISPA.2000.914894

Filename

914894