Encyclopedia of Machine Learning and Data Mining

2017 Edition
| Editors: Claude Sammut, Geoffrey I. Webb

K-Way Spectral Clustering

  • Xin JinEmail author
  • Jiawei Han
Reference work entry
DOI: https://doi.org/10.1007/978-1-4899-7687-1_433


K-Way Spectral Clustering is the technology to discover k clusters using spectral clustering.

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Recommended Reading

  1. Dhillon IS, Guan Y, Kulis B (2004) Kernel k-means: spectral clustering and normalized cuts. In: Proceedings of the tenth ACM SIGKDD international conference on knowledge discovery and data mining. ACM, New York, pp 551–556Google Scholar
  2. Luxburg U (2007) A tutorial on spectral clustering. Stat Comput 17(4):395–416MathSciNetCrossRefGoogle Scholar
  3. Zha H, He X, Ding C, Gu M, Simon HD (2001) Spectral relaxation for k-means clustering. In: Advances in neural information processing systems, Neural Information Processing Systems (NIPS), pp 1057–1064Google Scholar

Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  1. 1.PayPal Inc.San JoseUSA
  2. 2.University of Illinios at Urbana-ChampaignUrbanaUSA