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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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How to create a training set when I have no clue about my data?

If you don't have labeled data (telling whether it belongs to class "normal" or "anamoly"), you will have to use a cluster analysis - for grouping the objects. Logistic regression is a supervised le …
akashrajkn's user avatar