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Found 3 papers, 2 papers with code
A distribution-guided Mapper algorithm
With a dataset as an input, the Mapper algorithm outputs a graph representing the topological features of the whole dataset.
Shape Modeling with Spline Partitions
In this work, we focus on Bayesian nonparametric methods for capturing shapes by partitioning a space using curves.
Random Tessellation Forests
The Ostomachion process and the self-consistent binary space partitioning-tree process were recently introduced as generalizations of the Mondrian process for space partitioning with non-axis aligned cuts in the two dimensional plane.
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