Average sensitivity of spectral clustering

Peng, P. orcid.org/0000-0003-2700-5699 and Yoshida, Y. (2020) Average sensitivity of spectral clustering. In: KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. The 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2020), 23-27 Aug 2020, Virtual Event, CA, USA. Association for Computing Machinery (ACM) , pp. 1132-1140. ISBN 9781450379984

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Copyright, Publisher and Additional Information: © 2020 The Authors. This is an author-produced version of a paper subsequently published in KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Spectral clustering; Laplacian; average sensitivity
Dates:
  • Accepted: 16 May 2020
  • Published (online): August 2020
  • Published: August 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 09 Jun 2020 09:43
Last Modified: 16 Sep 2020 14:02
Status: Published
Publisher: Association for Computing Machinery (ACM)
Refereed: Yes
Identification Number: https://doi.org/10.1145/3394486.3403166
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