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Nicolas Tremblay

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Related publications (5)

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Accelerated Spectral Clustering Using Graph Filtering of Random Signals

Pierre Vandergheynst, Rémi Gribonval, Gilles Puy, Nicolas Tremblay

We build upon recent advances in graph signal processing to propose a faster spectral clustering algorithm. Indeed, classical spectral clustering is based on the computation of the first

k

eigenvectors of the similarity matrix' Laplacian, whose computati ...

Ieee2016

Nicolas Tremblay

Fourier could be a data scientist: From graph Fourier transform to signal processing on graphs

Random sampling of bandlimited signals on graphs

Accelerated Spectral Clustering Using Graph Filtering of Random Signals

Accelerated Spectral Clustering Using Graph Filtering of Random Signals

Random sampling of bandlimited signals on graphs

Fourier could be a data scientist: From graph Fourier transform to signal processing on graphs