on goodnessof-fit criteria will be proposed in this paper for fuzzy clustering of multivariate time series. A general … purpose fuzzy clustering algorithm may be used to estimate the proper cluster structure according to some internal criteria of …

was analyzed using the fuzzy clustering algorithm Fanny, which allowed us to test a procedure in order to create a … other. Furthermore, fuzzy clustering allowed us not only to classify the units into homogeneous groups, but also offered the …

modified evolutionary fuzzy clustering with associated neural networks. It consists of two modules: fuzzy distribution and … evolutionary fuzzy clustering, which leads the basis for network structure selection and learning in associated neural classifier …

established using the projection pursuit, fuzzy clustering and accelerating genetic algorithm method. Finally, the ice disaster …

In this paper, following a partitioning around medoids approach, a fuzzy clustering model for interval-valued data, i … clustering process, a robust fuzzy clustering model with a trimming rule, called Trimmed Fuzzy <InlineEquation ID="IEq1 …