Consensus clustering has emerged as an important elaboration of the classical clustering problem. Consensus clustering, also called aggregation of clustering (or partitions), refers to the situation in which a number of different (input) clusterings have been obtained for a particular dataset and it is desired to find a single (consensus) clustering which is a better fit in some sense than the existing clusterings. Consensus clustering is thus the problem of reconciling clustering information about the same data set coming from different sources or from different runs of the same algorithm. When cast as an optimization problem, consensus clustering is known as median partition, and has been shown to be NP-complete.
OnlyWire syndicates your content and articles to the web's top social networking sites with a single button click. The OnlyWire Bookmark & Share button gives your website and blog visitors the ability to post your content to all of their social networking sites.
Categories are pages that are used to group other pages on similar subjects together. This is done to help users find the pages they are looking for, even if they do not know whether it exists or what it is called.
Every page should belong to at least one category. A page may often be in several categories. However, putting a page in too many categories may not be useful.
D. Arthur, and S. Vassilvitskii. SCG '06: Proceedings of the twenty-second annual symposium on Computational geometry, page 144--153. New York, NY, USA, ACM, (2006)
K. Avrachenkov, V. Dobrynin, D. Nemirovsky, S. Pham, and E. Smirnova. SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, page 873--874. New York, NY, USA, ACM, (2008)
T. Hu, H. Xiong, W. Zhou, S. Sung, and H. Luo. SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, page 871--872. New York, NY, USA, ACM, (2008)
C. Ding, T. Li, D. Luo, and W. Peng. SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, page 831--832. New York, NY, USA, ACM, (2008)
C. Karande, K. Chellapilla, and R. Andersen. WSDM '09: Proceedings of the Second ACM International Conference on Web Search and Data Mining, page 272--281. New York, NY, USA, ACM, (2009)
J. Kamps, and M. Koolen. WSDM '09: Proceedings of the Second ACM International Conference on Web Search and Data Mining, page 232--241. New York, NY, USA, ACM, (2009)
D. Bollegala, Y. Matsuo, and M. Ishizuka. WSDM '09: Proceedings of the Second ACM International Conference on Web Search and Data Mining, page 104--113. New York, NY, USA, ACM, (2009)
D. Ramage, P. Heymann, C. Manning, and H. Garcia-Molina. WSDM '09: Proceedings of the Second ACM International Conference on Web Search and Data Mining, page 54--63. New York, NY, USA, ACM, (2009)
S. Overell, B. Sigurbjörnsson, and R. van Zwol. WSDM '09: Proceedings of the Second ACM International Conference on Web Search and Data Mining, page 64--73. New York, NY, USA, ACM, (2009)
M. Koolen, G. Kazai, and N. Craswell. WSDM '09: Proceedings of the Second ACM International Conference on Web Search and Data Mining, page 44--53. New York, NY, USA, ACM, (2009)
O. Kurland, and L. Lee. SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, page 306--313. New York, NY, USA, ACM, (2005)
N. Slonim, and N. Tishby. SIGIR '00: Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval, page 208--215. New York, NY, USA, ACM, (2000)
X. Liu, and W. Croft. SIGIR '04: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, page 186--193. New York, NY, USA, ACM, (2004)
G. Erkan. Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, page 479--486. Morristown, NJ, USA, Association for Computational Linguistics, (2006)
J. Tang, and P. Lewis. CIVR '08: Proceedings of the 2008 international conference on Content-based image and video retrieval, page 105--112. New York, NY, USA, ACM, (2008)
M. B\=adoiu, S. Har-Peled, and P. Indyk. STOC '02: Proceedings of the thiry-fourth annual ACM symposium on Theory of computing, page 250--257. New York, NY, USA, ACM, (2002)
M. Balcan, A. Blum, and A. Gupta. SODA '09: Proceedings of the Nineteenth Annual ACM -SIAM Symposium on Discrete Algorithms, page 1068--1077. Philadelphia, PA, USA, Society for Industrial and Applied Mathematics, (2009)
C. Daskalakis, P. Goldberg, and C. Papadimitriou. STOC '06: Proceedings of the thirty-eighth annual ACM symposium on Theory of computing, page 71--78. New York, NY, USA, ACM, (2006)