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Results tagged with dimensionality-reduction
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user 336518
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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Is there an incremental dimensionality reduction algorithm that can handle batch size less t...
I have a large dataset of patient data by hour. For example, given the shape as (hours, features), patient 1 data shape could be (30, 76) and patient 2 data shape could be (5, 76). I want to do increm …
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