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 differences among the methods in question and facilitate their comparison
Beyond tandem analysis: joint dimension reduction and clustering in R / Markos, Angelos; IODICE D'ENZA, Alfonso; van de Velden, Michel. - (2013), pp. 1-4.
Beyond tandem analysis: joint dimension reduction and clustering in R
IODICE D'ENZA Alfonso;
2013
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 differences among the methods in question and facilitate their comparisonFile in questo prodotto:
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