We describe a class of methods that use a combination of dimension reduction and clustering. In particular, two methods for quantitative data and three for qualitative data are reviewed that will be included in an R package. A unified framework is used to underline di↵erences among the methods in question and facilitate their comparison.
Beyond tandem analysis: joint dimension reduction and clustering in R
IODICE D'ENZA, Alfonso;
2013-01-01
Abstract
We describe a class of methods that use a combination of dimension reduction and clustering. In particular, two methods for quantitative data and three for qualitative data are reviewed that will be included in an R package. A unified framework is used to underline di↵erences among the methods in question and facilitate their comparison.File in questo prodotto:
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