Unsupervised learning through symbolic clustering
Pattern Recognition Letters
An objective approach to cluster validation
Pattern Recognition Letters
On the efficiency of evolutionary fuzzy clustering
Journal of Heuristics
Feature selection for binary data: medical diagnosis with fuzzy sets
AFIPS '76 Proceedings of the June 7-10, 1976, national computer conference and exposition
Extending fuzzy and probabilistic clustering to very large data sets
Computational Statistics & Data Analysis
Modified Gath--Geva clustering for fuzzy segmentation of multivariate time-series
Fuzzy Sets and Systems
Validity-guided fuzzy clustering evaluation for neural network-based time-frequency reassignment
EURASIP Journal on Advances in Signal Processing - Special issue on time-frequency analysis and its applications to multimedia signals
Trend of fuzzy multivariant analysis in management engineering
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
IFAC report: Second IFAC round table on fuzzy automata and decision processes
Automatica (Journal of IFAC)
Mathematical and Computer Modelling: An International Journal
Parametric estimation for normal mixtures
Pattern Recognition Letters
Hi-index | 14.98 |
An algorithm is described for generating fuzzy partitions which extremize a fuzzy extension of the k-means squared-error criterion function on finite data sets X. It is shown how this algorithm may be applied to the problem of estimating the parameters (a priori probabilities, means, and covariances) of mixture of multivariate normal densities, given a finite sample X drawn from the mixture. The behavior of the algorithm is compared with that of the ordinary ISODATA clustering process and the maximum likelihood method, for a specific bivariate mixture.