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K-Way Spectral Clustering

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Encyclopedia of Machine Learning and Data Mining

Abstract

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

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Recommended Reading

  • 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 551–556

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  • Luxburg U (2007) A tutorial on spectral clustering. Stat Comput 17(4):395–416

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  • 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 1057–1064

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Correspondence to Xin Jin .

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Jin, X., Han, J. (2017). K-Way Spectral Clustering. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_433

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