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On fuzzy clustering of directional data

โœ Scribed by Miin-Shen Yang; Jinn-Anne Pan

Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
422 KB
Volume
91
Category
Article
ISSN
0165-0114

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โœฆ Synopsis

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 mixtures of von Mises regressions is derived. This is used as analysis of mixtures of directional regression models. Some numerical examples are given. (~) 1997 Published by Elsevier Science B.V.

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