2008

Filippone, M. ; Camastra, F. ; Masulli, F. ; Rovetta, S.: {A survey of kernel and spectral methods for clustering}. In: Pattern recognition, 41 (2008), Nr. 1, S. 176--190
Symeonidis, Panagiotis ; Nanopoulos, Alexandros ; Manolopoulos, Yannis: Tag recommendations based on tensor dimensionality reduction. In: RecSys '08: Proceedings of the 2008 ACM conference on Recommender systems. New York, NY, USA : ACM, 2008. - ISBN 978-1-60558-093-7, S. 43--50

2007

Luxburg, Ulrike: A tutorial on spectral clustering. In: Statistics and Computing, 17 (2007), Nr. 4, S. 395--416

2006

Newman, MEJ: {Finding community structure in networks using the eigenvectors of matrices}. In: Physical Review E, 74 (2006), Nr. 3, S. 36104
Newman, MEJ: {Modularity and community structure in networks}. In: Proceedings of the National Academy of Sciences, 103 (2006), Nr. 23, S. 8577--8582

2005

Dhillon, Inderjit S. ; Guan, Yuqiang ; Kulis, Brian ; University of Texas Dept. of Computer Science (Hrsg.): A Unified View of Kernel k-means, Spectral Clustering and Graph Cuts. TR-04-25, 2005
White, S. ; Smyth, P.: {A spectral clustering approach to finding communities in graph} (2005)

2003

Estrada, E. ; Rodriguez-Velázquez, J.A.: {Spectral measures of bipartivity in complex networks}. In: SIAM Rev Phys Rev E, 72 (2003), S. 046105
Verma, D. ; Meila, M.: {A comparison of spectral clustering algorithms}. In: University of Washington, Tech. Rep. UW-CSE-03-05-01 (2003)

2001

Dhillon, Inderjit S.: Co-clustering documents and words using bipartite spectral graph partitioning. In: KDD '01: Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining. New York, NY, USA : ACM Press, 2001. - ISBN 158113391X, S. 269--274
Ng, Andrew Y. ; Jordan, Michael I. ; Weiss, Yair: On spectral clustering: Analysis and an algorithm. In: Advances in Neural Information Processing Systems 14 : MIT Press, 2001, S. 849--856

1996

Spielman, Daniel A. ; Teng, Shang ; (Hrsg.): Spectral Partitioning Works: Planar Graphs and Finite Element Meshes. Berkeley, CA, USA, 1996

1995

Alpert, Charles J. ; Kahng, Andrew B. ; zen Yao, So: Spectral partitioning: The more eigenvectors, the better. In: Proc. ACM/IEEE Design Automation Conf, 1995, S. 195--200

1994

Chan, Pak K. ; Schlag, Martine D. F. ; Zien, Jason Y.: Spectral K-way ratio-cut partitioning and clustering.. In: IEEE Trans. on CAD of Integrated Circuits and Systems, 13 (1994), Nr. 9, S. 1088-1096

1990

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1973

Donath, W.E. ; Hoffman, A.J.: {Lower bounds for the partitioning of graphs}. In: IBM Journal of Research and Development, 17 (1973), Nr. 5, S. 420--425