19th AIAI 2023, 14 - 17 June 2023, León, Spain

OF-AE: Oblique Forest AutoEncoders

Cristian Daniel Alecsa

Abstract:

  We propose an unsupervised ensemble method consisting of oblique trees that can address the task of auto-encoding, which is an extension of the eForest encoder introduced in reference. By employing oblique splits, we will devise an auto-encoder method through the computation of a sparse solution of a set of linear inequalities consisting of feature values constraints. The code for reproducing our results is available at https://github.com/CDAlecsa/Oblique-Forest-AutoEncoders.  

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