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Results tagged with dimensionality-reduction
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user 27187
Techniques for reducing a large number of variables or dimensions spanned by data to a smaller number of dimensions while preserving as much information about the data as possible. Prominent methods include PCA, Factor Analysis, MDS, Independent Component Analysis, Multiple Correspondence Analysis, Isomap, etc. The two main subclasses of techniques: feature extraction and feature selection.
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Can I do a PCA on repeated measures for data reduction?
You could look into Multiple Factor Analysis. This can be implemented in R with FactoMineR.
UPDATE:
To elaborate, Leann was proposing – however long ago – to conduct a PCA on a dataset with repeated m …
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