Jinn-Anne Pan

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In this paper we propose fuzzy clustering algorithms for directional data. It is a new type of classification maximum likelihood procedure for mixtures of von Mises distributions. These iterative clustering algorithms give us a new method for analysis of grouped directional data in the plane. The procedure which embeds the fuzzy c-partitions in the model of(More)
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