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).
|Author||Subhadeep Mukhopadhyay, Kaijun Wang|
|Maintainer||Kaijun Wang <[email protected]>|
|Package repository||View on CRAN|
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