DocumentCode
303335
Title
A neuro-fuzzy approach to agglomerative clustering
Author
Joshi, Anupam ; Ramakrishnan, Narendran ; Rice, John R. ; Houstis, Elias N.
Author_Institution
Dept. of Comput. Sci., Purdue Univ., West Lafayette, IN, USA
Volume
2
fYear
1996
fDate
3-6 Jun 1996
Firstpage
1028
Abstract
In this paper, we introduce a new agglomerative clustering algorithm in which each pattern cluster is represented by a collection of fuzzy hyperboxes. Initially, a number of such hyperboxes are calculated to represent the pattern samples. Then, the algorithm applies multi-resolution techniques to progressively “combine” these hyperboxes in a hierarchial manner. Such an agglomerative scheme has been found to yield encouraging results in real-world clustering problems
Keywords
pattern recognition; agglomerative clustering; fuzzy hyperboxes; multi-resolution techniques; neuro-fuzzy approach; Clustering algorithms; Clustering methods; Fuzzy sets; Humans; Iterative algorithms; Partitioning algorithms; Pattern recognition; Probability distribution; Shape; Sufficient conditions;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1996., IEEE International Conference on
Conference_Location
Washington, DC
Print_ISBN
0-7803-3210-5
Type
conf
DOI
10.1109/ICNN.1996.549039
Filename
549039
Link To Document