INTEGRATED FUZZY CLUSTERING

被引：10

作者：

DIGESU, V

机构：

[1] Dipartimento di Matematica ed Applicazioni, University of Palermo, I-90123 Palermo

来源：

FUZZY SETS AND SYSTEMS | 1994年 / 68卷 / 03期

关键词：

FUZZY SETS; CLUSTER ANALYSIS; DATA ANALYSIS; PATTERN RECOGNITION; INTEGRATED CLUSTERING;

D O I：

10.1016/0165-0114(94)90185-6

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Cluster analysis is a valuable tool for exploratory pattern analysis, especially when the information available is not complete, and/or the data model is affected by uncertainty, and imprecision. Here a new integrated clustering method, based on a fuzzy approach is proposed. Its implementation consists of the combination of hierarchical fuzzy algorithms. The performance and accuracy of the methodology are tested on biomedical images. An application to the segmentation of magnetic resonance images is discussed.

引用

页码：293 / 308

页数：16

共 21 条

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