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Results tagged with dimensionality-reduction
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user 221353
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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Should I Include 'Year' Column in PCA
I want to do dimensionality reduction on a dataset. One of the columns present is the Year and the values are 2000, up to 2015. When doing PCA, do you treat this column as a factor or as numeric?
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