Environment based clustering. A new approach

被引：0

作者：

Lanzarini, L ^{[1
]}

De Giusti, A ^{[1
]}

机构：

[1] Natl Univ La Plata, LIDI, Fac Informat, RA-1900 La Plata, Argentina

来源：

IWISPA 2000: PROCEEDINGS OF THE FIRST INTERNATIONAL WORKSHOP ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS | 2000年

关键词：

clustering techniques; image segmentation; classification;

D O I：

10.1109/ISPA.2000.914894

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

There is 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 CDL method (Torbjorn, 1998), with satisfactory results.

引用

页码：75 / 80

页数：6

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