Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Parallel Models of Associative Memory
Parallel Models of Associative Memory
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection and Separation of Ring-Shaped Clusters Using Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pairwise Data Clustering by Deterministic Annealing
IEEE Transactions on Pattern Analysis and Machine Intelligence
A linear assignment clustering algorithm based on the least similar cluster representatives
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Robust clustering methods: a unified view
IEEE Transactions on Fuzzy Systems
An integrated approach to fuzzy learning vector quantization and fuzzy c-means clustering
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
A new neural network for cluster-detection-and-labeling
IEEE Transactions on Neural Networks
Dynamics of selective recall in an associative memory model with one-to-many associations
IEEE Transactions on Neural Networks
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A novel similarity measure, proposed for clustering data with arbitrary distribution shapes, is developed. Such a new measure of similarity is employed in a dynamic model to collectively measure similarity among pattern vectors, which can help to achieve a more robust clustering performance than using the existing measures that are staticly and individually based on the distances among the isolated pairwise data. The experiment results demonstrated that the proposed neural network based on the new similarity measure has the capability to robustly and quickly cluster data on which Cluster-Detection-and-Labeling neural network fails.