Multivariate statistical pattern recognition with nonreduced dimensionality

Jiří Grim

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Displaying similar documents to “Multivariate statistical pattern recognition with nonreduced dimensionality”

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Fuzzy clustering of spatial binary data

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An iterative fuzzy clustering method is proposed to partition a set of multivariate binary observation vectors located at neighboring geographic sites. The method described here applies in a binary setup a recently proposed algorithm, called Neighborhood EM, which seeks a partition that is both well clustered in the feature space and spatially regular [AmbroiseNEM1996]. This approach is derived from the EM algorithm applied to mixture models [Dempster1977], viewed as an alternate optimization...