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Results tagged with dimensionality-reduction
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user 46115
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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Which distribution has the larger variability? Is variance absolute, or relative to the mean?
I apologize in advance, I'm new to statistics. I have a large (millions) dataset (the US Census American Community Survey) with 286 attributes. I've calculated the mean, variance and standard deviat …
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