DocumentCode
3401062
Title
Fuzzy c-means for Fuzzy Hierarchical Clustering
Author
Torra, Vicenç
Author_Institution
IIIA-CSIC, Bellaterra
fYear
2005
fDate
25-25 May 2005
Firstpage
646
Lastpage
651
Abstract
This paper describes an algorithm for building fuzzy hierarchies. These are hierarchies where the elements can have fuzzy membership to the nodes. The paper presents an approach that mainly follows a bottom-up strategy, and describes the functions needed to operate with fuzzy variables. An example of the application of the approach is also presented
Keywords
fuzzy set theory; fuzzy systems; hierarchical systems; pattern clustering; bottom-up strategy; fuzzy c-means; fuzzy hierarchical clustering; fuzzy variables; Application software; Clustering algorithms; Clustering methods; Computer vision; Data mining; Data privacy; Data visualization; Fuzzy sets; Partitioning algorithms; Self organizing feature maps;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on
Conference_Location
Reno, NV
Print_ISBN
0-7803-9159-4
Type
conf
DOI
10.1109/FUZZY.2005.1452470
Filename
1452470
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