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Results tagged with dimensionality-reduction
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user 71918
Dimensionality reduction refers to techniques for reducing many variables into a smaller number while keeping as much information as possible. One prominent method is [tag pca]
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answer
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What are the cases in which Isomap fails to do a good job?
As above, what is a possible scenario/ dataset/ case in which Isomap fails to do a decent dimensionality reduction?
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