Fernández et al., 2016 - Google Patents
Model selection for mixture‐based clustering for ordinal dataFernández et al., 2016
View PDF- Document ID
- 3838333041830537392
- Author
- Fernández D
- Arnold R
- Publication year
- Publication venue
- Australian & New Zealand Journal of Statistics
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Snippet
One of the key questions in the use of mixture models concerns the choice of the number of components most suitable for a given data set. In this paper we investigate answers to this problem in the context of likelihood‐based clustering of the rows of a matrix of ordinal data …
- 239000000203 mixture 0 title abstract description 52
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