@inproceedings{30d5dc28b4f34a7dbedf227f5eeec3cd,
title = "Clusterpath: An algorithm for clustering using convex fusion penalties",
abstract = "We present a new clustering algorithm by proposing a convex relaxation of hierarchical clustering, which results in a family of objective functions with a natural geometric interpretation. We give efficient algorithms for calculating the continuous regularization path of solutions, and discuss relative advantages of the parameters. Our method experimentally gives state-of-the-art results similar to spectral clustering for non-convex clusters, and has the added benefit of learning a tree structure from the data.",
author = "Hocking, {Toby Dylan} and Armand Joulin and Francis Bach and Vert, {Jean Philippe}",
year = "2011",
language = "English (US)",
isbn = "9781450306195",
series = "Proceedings of the 28th International Conference on Machine Learning, ICML 2011",
pages = "745--752",
booktitle = "Proceedings of the 28th International Conference on Machine Learning, ICML 2011",
note = "28th International Conference on Machine Learning, ICML 2011 ; Conference date: 28-06-2011 Through 02-07-2011",
}