Computational geometry: an introduction
Computational geometry: an introduction
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Voting-Merging: An Ensemble Method for Clustering
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Correlation Pattern Recognition
Correlation Pattern Recognition
Advances in Fuzzy Clustering and its Applications
Advances in Fuzzy Clustering and its Applications
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High quality clustering is impossible without a priori information about clustering criteria. The paper describes the development of new clustering technique based on chaotic neural networks that overcomes the indeterminacy about number and topology of clusters. Proposed method of weights computation via Delaunay triangulation allows to cut down computing complexity of chaotic neural network clustering.