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Closes #101 (closed)
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Description
The idea of the algorithm is to create a pool of features based on the number of features passed by user. This pool will be the base of generating all categorical data. Also, the user can specify the number of categories in the normal points and in the outliers. Added to that, the user can specify the number of informative features in the outlier points in which the higher the easier to detect and classify, whereas the lower the more redundant (non-informative and insignificant) the features in the outlier points which makes it more difficult to detect.
Required tests and example have been added.