PageRank and The K-Means Clustering Algorithm

Mustafa Hajij; Eyad Said; Robert Todd

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arXiv · 2005.04774

PageRank and The K-Means Clustering Algorithm

Mustafa Hajij·Eyad Said·Robert Todd

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Abstract

We utilize the PageRank vector to generalize the $k$-means clustering algorithm to directed and undirected graphs. We demonstrate that PageRank and other centrality measures can be used in our setting to robustly compute centrality of nodes in a given graph. Furthermore, we show how our method can be generalized to metric spaces and apply it to other domains such as point clouds and triangulated meshes

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Mustafa Hajij, Eyad Said, Robert Todd. 2020-05-10. PageRank and The K-Means Clustering Algorithm. https://arxiv.org/abs/2005.04774

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