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
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;
Conference_Titel :
Neural Networks, 1996., IEEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-3210-5
DOI :
10.1109/ICNN.1996.549039
