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Clustering procedures allowing for general covariance structures of the obtained clusters need some constraints on the … restriction on the “eigenvalues-ratio” of the clusters scatter matrices. In order to try to achieve robustness with respect to …
Persistent link: https://www.econbiz.de/10010994276
that are easy to implement and deal with outliers by what amounts to a soft form of trimming in the case of t and a soft …
Persistent link: https://www.econbiz.de/10011650315
that are easy to implement and deal with outliers by what amounts to a soft form of trimming in the case of t and a soft …
Persistent link: https://www.econbiz.de/10011458780
The high prevalence of spurious solutions and the disturbing effect of outlying observations in mixture modeling are well known problems that pose serious difficulties for non-expert practitioners of this kind of models in different applied areas. An approach which combines the use of Trimmed...
Persistent link: https://www.econbiz.de/10010995269
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solutions to this problem and are effective in higher dimensions. We use mixture model-based clustering applications to …
Persistent link: https://www.econbiz.de/10010846120
Gaussian and t-distribution analogues, mixtures of skew-t factor analyzers are very well-suited for model-based clustering of … data, giving superior clustering results when compared to a well-established family of Gaussian mixture models. …
Persistent link: https://www.econbiz.de/10010871318
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The performance (accuracy and robustness) of several clustering algorithms is studied for linearly dependent random … posteriori criterion to choose between two discordant clustering algorithm is presented. …
Persistent link: https://www.econbiz.de/10010589295