Clustering Uncertain Data Based on Probability Distribution Similarity
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Bin Jiang | Jian Pei | Yufei Tao | Xuemin Lin | J. Pei | Yufei Tao | Xuemin Lin | B. Jiang | Jian Pei | Yufei Tao | Xuemin Lin | Jian Pei | Yufei Tao
[1] Hans-Peter Kriegel,et al. OPTICS: ordering points to identify the clustering structure , 1999, SIGMOD '99.
[2] Tomasz Imielinski,et al. Incomplete Information in Relational Databases , 1984, JACM.
[3] Teofilo F. GONZALEZ,et al. Clustering to Minimize the Maximum Intercluster Distance , 1985, Theor. Comput. Sci..
[4] Bin Jiang,et al. Probabilistic Skylines on Uncertain Data , 2007, VLDB.
[5] T. McMahon,et al. Updated world map of the Köppen-Geiger climate classification , 2007 .
[6] Serge Abiteboul,et al. On the representation and querying of sets of possible worlds , 1987, SIGMOD '87.
[7] Anil K. Jain,et al. Algorithms for Clustering Data , 1988 .
[8] Marcel R. Ackermann,et al. Clustering for metric and non-metric distance measures , 2008, SODA '08.
[9] David W. Scott,et al. Multivariate Density Estimation: Theory, Practice, and Visualization , 1992, Wiley Series in Probability and Statistics.
[10] Jihoon Yang,et al. Experimental Comparison of Feature Subset Selection Methods , 2007 .
[11] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[12] Reynold Cheng,et al. Reducing UK-Means to K-Means , 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).
[13] Leslie Greengard,et al. The Fast Gauss Transform , 1991, SIAM J. Sci. Comput..
[14] V. Cerný. Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm , 1985 .
[15] Ali S. Hadi,et al. Finding Groups in Data: An Introduction to Chster Analysis , 1991 .
[16] W. Bruce Croft,et al. A general language model for information retrieval , 1999, CIKM '99.
[17] P. J. Green,et al. Density Estimation for Statistics and Data Analysis , 1987 .
[18] Yufei Tao,et al. Indexing Multi-Dimensional Uncertain Data with Arbitrary Probability Density Functions , 2005, VLDB.
[19] Reynold Cheng,et al. Efficient Clustering of Uncertain Data , 2006, Sixth International Conference on Data Mining (ICDM'06).
[20] S DhillonInderjit,et al. A divisive information theoretic feature clustering algorithm for text classification , 2003 .
[21] Hans-Peter Kriegel,et al. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.
[22] Wolfgang Lehner,et al. Clustering Uncertain Data with Possible Worlds , 2009, 2009 IEEE 25th International Conference on Data Engineering.
[23] David Wai-Lok Cheung,et al. Clustering Uncertain Data Using Voronoi Diagrams , 2008, 2008 Eighth IEEE International Conference on Data Mining.
[24] Hans-Peter Kriegel,et al. Density-based clustering of uncertain data , 2005, KDD '05.
[25] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[26] Inderjit S. Dhillon,et al. A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification , 2003, J. Mach. Learn. Res..
[27] Larry S. Davis,et al. Improved fast gauss transform and efficient kernel density estimation , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[28] Sunil Prabhakar,et al. Evaluating probabilistic queries over imprecise data , 2003, SIGMOD '03.
[29] Dan Suciu,et al. Management of probabilistic data: foundations and challenges , 2007, PODS '07.
[30] Petra Perner,et al. Data Mining - Concepts and Techniques , 2002, Künstliche Intell..
[31] Jennifer Widom,et al. Working Models for Uncertain Data , 2006, 22nd International Conference on Data Engineering (ICDE'06).
[32] Scott Kirkpatrick,et al. Optimization by Simmulated Annealing , 1983, Sci..
[33] Peter J. Haas,et al. MCDB: a monte carlo approach to managing uncertain data , 2008, SIGMOD Conference.
[34] W. Bruce Croft,et al. Cluster-based language models for distributed retrieval , 1999, SIGIR '99.
[35] Hans-Peter Kriegel,et al. Hierarchical density-based clustering of uncertain data , 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).
[36] Tomás Feder,et al. Optimal algorithms for approximate clustering , 1988, STOC '88.
[37] S. P. Lloyd,et al. Least squares quantization in PCM , 1982, IEEE Trans. Inf. Theory.
[38] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[39] Huaiyu Zhu. On Information and Sufficiency , 1997 .
[40] D. W. Scott,et al. Multivariate Density Estimation, Theory, Practice and Visualization , 1992 .
[41] Inderjit S. Dhillon,et al. Clustering with Bregman Divergences , 2005, J. Mach. Learn. Res..