OF-AE: Oblique Forest AutoEncoders

The usage (briefly CART) [2] have proven to be very successful of the clustering method of the ERCForest can be observed methods for various data analysis problems. The original in the unsupervised algorithm RandomTreesEmbedding from CART algorithm partitions the feature space using axisparallel SKLearn, where the data points are clustered according to splits. The training of a classical decision tree T which leaf they fall in. Furthermore, it is worth noticing that relies on greedy optimization, i.e. the root of the tree is the ERCForest is eventually related to Clustering Trees (CT) the whole input space X which is split into two disjoint introduced in [9] that are Decision Trees able to find natural regions, and this process continues in a recursive manner.