Nov 18, 2021 · In this work, we developed a new method for multiway p-spectral clustering that leverages recent advancements in Riemannian optimization. This ...

Aug 30, 2020 · We present a novel direct multiway spectral clustering algorithm in the p-norm, for p \in (1, 2]. The problem of computing multiple eigenvectors ...

Monitoring the monotonic decrease of the balanced graph cuts guarantees that we obtain the best available solution from the p-levels considered. We demonstrate ...

This work presents a novel direct multiway spectral clustering algorithm in the p -norm, a nonlinear generalization of the standard graph Laplacian, ...

Nov 18, 2021 · The value of p is reduced in a pseudocontinuous manner, promoting sparser solution vectors that correspond to optimal graph cuts as p approaches ...

Multiway p-spectral graph cuts on Grassmann manifolds. Published in Machine Learning, 2022. Recommended citation: D. Pasadakis, C.L. Alappat, O. Schenk and ...

Multiway p-spectral graph cuts on Grassmann manifolds. https://doi.org/10.1007/s10994-021-06108-1 ·. Journal: Machine Learning, 2021, № 2, p. 791-829.

This repository contains the official code for the paper "Multiway p-spectral graph cuts on Grassmann manifolds." published at Machine Learning, 2022.

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