LPGraph: Nonparametric Smoothing of Laplacian Graph Spectra

A nonparametric method to approximate Laplacian graph spectra of a network with ordered vertices. This provides a computationally efficient algorithm for obtaining an accurate and smooth estimate of the graph Laplacian basis. The approximation results can then be used for tasks like change point detection, k-sample testing, and so on. The primary reference is Mukhopadhyay, S. and Wang, K. (2018, Technical Report).

Package details

AuthorSubhadeep Mukhopadhyay, Kaijun Wang
MaintainerKaijun Wang <kaijun.wang@temple.edu>
Package repositoryView on CRAN
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LPGraph documentation built on Jan. 31, 2020, 1:06 a.m.