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Results tagged with dimensionality-reduction
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user 92277
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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What is an appropriate dimensionality reduction approach for visualization of image hashes
I have a dataset of photographs of forms (say 1000 images). Since the forms belong to about 50 different layouts (i.e. templates), I expect the corresponding images to be clustered. I want to visualiz …
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