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Statistical classification is the problem of identifying the sub-population to which new observations belong, where the identity of the sub-population is unknown, on the basis of a training set of data containing observations whose sub-population is known. Therefore these classifications will show a variable behavior which can be studied by statistics.

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Why is t-SNE not used as a dimensionality reduction technique for clustering or classification?

used for visualization of high dimensional data, such as in this answer, yet given the distinct clusters it produces, why is it not used as a dimensionality reduction technique that is then used for classification
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