Genetic-based spatial clustering

被引：0
|
作者：
Di Nola, A [1 ]
Loia, V [1 ]
Staiano, A [1 ]
机构：
[1] Univ Salerno, Soft Comp Lab, Dipartimento Matemat & Informat, I-84081 Baronissi, Salerno, Italy
来源：
NINTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2000), VOLS 1 AND 2 | 2000年
关键词：
clustering algorithm; fuzzy e-means; fuzzy sets; genetic algorithm;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We propose a genetic-level clustering methodology able to cluster objects represented by R-p spaces. The unsupervised fluster algorithm is based on a fuzzy clustering c-means method that searches the best fuzzy partition of the universe assuming that the evaluation of each object respect to some features is unknown, but knowing that it belongs to circular region of R-2 space.
引用
收藏
页码：953 / 956
页数：4
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