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- W2079054295 abstract "Classification maximum likelihood (CML) procedure is a maximum likelihood mixture approach to clustering. In 1993, Yang first extended the CML to a so-called fuzzy CML (FCML), by combining fuzzy c-partitions with the CML function for a normal mixture model. However, normal distribution is not robust for outliers. In this paper we consider FCML with t-distributions and create a clustering algorithm, called FCMLT. Numerical examples and real data applications with comparisons are given to demonstrate the effectiveness and superiority of the proposed method." @default.
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- W2079054295 date "2014-07-01" @default.
- W2079054295 modified "2023-09-25" @default.
- W2079054295 title "Fuzzy Classification Maximum Likelihood Clustering with T-Distributions" @default.
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- W2079054295 doi "https://doi.org/10.4028/www.scientific.net/amm.598.392" @default.
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