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+# Manifoldron: Direct Space Partition via Manifold Discovery
+[Colab Demo](https://colab.research.google.com/drive/1fK4OD27BYvmVdOorjartuf1CcaQe5PPK?usp=sharing) | [ArXiv](https://arxiv.org/abs/2201.05279) | [Datasets](https://drive.google.com/drive/folders/14VHR8H7ucp0Loob1PS9yrgTtE9Jm0wsK?usp=sharing)<br/>
+This respository includes implementations on *Manifoldron: Direct Space Partition via Manifold Discovery* in which we propose a new type of machine learning models referred to as Manifoldron that directly derives decision boundaries from data and partitions the space via manifold structure discovery. The experimental results on 9 small and 11 large datasets demonstrate that the proposed Manifoldron performs competitively compared to the mainstream machine learning models.
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