A Cognitively Inspired Approach to Two-Way Cluster Extraction from One-Way Clustered Data
暂无分享,去创建一个
[1] Cameron Buckner. A property cluster theory of cognition , 2015 .
[2] Barton P. Miller,et al. Mr. Scan: Extreme scale density-based clustering using a tree-based network of GPGPU nodes , 2013, 2013 SC - International Conference for High Performance Computing, Networking, Storage and Analysis (SC).
[3] Matthew O. Ward,et al. Summarization and Matching of Density-Based Clusters in Streaming Environments , 2011, Proc. VLDB Endow..
[4] Jaideep Srivastava,et al. Unsupervised Learning Based Distributed Detection of Global Anomalies , 2010, Int. J. Inf. Technol. Decis. Mak..
[5] Jianhao Tan,et al. An Improved Clustering Algorithm Based on Density Distribution Function , 2010, Comput. Inf. Sci..
[6] Chen Xiaoyun,et al. PGMCLU: A novel parallel grid-based clustering algorithm for multi-density datasets , 2009, 2009 1st IEEE Symposium on Web Society.
[7] Cesim Erten,et al. Biclustering Expression Data Based on Expanding Localized Substructures , 2009, BICoB.
[8] Christopher D. Manning,et al. Introduction to Information Retrieval , 2008, J. Assoc. Inf. Sci. Technol..
[9] Kavé Salamatian,et al. Flexible Grid-Based Clustering , 2007, PKDD.
[10] Amir Hussain,et al. A new biclustering technique based on crossing minimization , 2006, Neurocomputing.
[11] P. Viswanath,et al. l-DBSCAN : A Fast Hybrid Density Based Clustering Method , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[12] Bing Liu,et al. A Fast Density-Based Clustering Algorithm for Large Databases , 2006, 2006 International Conference on Machine Learning and Cybernetics.
[13] Qiaoping Zhang,et al. A New and Efficient K-Medoid Algorithm for Spatial Clustering , 2005, ICCSA.
[14] M. Steinbach,et al. Introduction to Data Mining , 2005, Principles of Data Mining.
[15] Keke Chen,et al. VISTA: Validating and Refining Clusters Via Visualization , 2004, Inf. Vis..
[16] Christian Böhm,et al. Computing Clusters of Correlation Connected objects , 2004, SIGMOD '04.
[17] Huan Liu,et al. Subspace clustering for high dimensional data: a review , 2004, SKDD.
[18] Zhiyong Lu,et al. Automatic Extraction of Clusters from Hierarchical Clustering Representations , 2003, PAKDD.
[19] Jeng-Shyang Pan,et al. An Efficient K -Medoids-Based Algorithm Using Previous Medoid Index, Triangular Inequality Elimination Criteria, and Partial Distance Search , 2002, DaWaK.
[20] Samuel Kaski,et al. Data Visualization and Analysis with Self-Organizing Maps in Learning Metrics , 2001, DaWaK.
[21] Huan Liu,et al. '1+1>2': merging distance and density based clustering , 2001, Proceedings Seventh International Conference on Database Systems for Advanced Applications. DASFAA 2001.
[22] Dah-Jye Lee,et al. Three-dimensional reconstruction for high-speed volume measurement , 2001, SPIE Optics East.
[23] Cao Jing,et al. Approaches for scaling DBSCAN algorithm to large spatial databases , 2000 .
[24] George M. Church,et al. Biclustering of Expression Data , 2000, ISMB.
[25] Ravindra Khattree,et al. Multivariate Data Reduction and Discrimination With SAS® Software , 2001 .
[26] Jon M. Kleinberg,et al. Clustering categorical data: an approach based on dynamical systems , 2000, The VLDB Journal.
[27] Hans-Peter Kriegel,et al. OPTICS: ordering points to identify the clustering structure , 1999, SIGMOD '99.
[28] Daniel A. Keim,et al. An Efficient Approach to Clustering in Large Multimedia Databases with Noise , 1998, KDD.
[29] Aidong Zhang,et al. WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases , 1998, VLDB.
[30] Hans-Peter Kriegel,et al. Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications , 1998, Data Mining and Knowledge Discovery.
[31] Dimitrios Gunopulos,et al. Automatic subspace clustering of high dimensional data for data mining applications , 1998, SIGMOD '98.
[32] Boris Mirkin,et al. Mathematical Classification and Clustering , 1996 .
[33] Erich Schikuta,et al. Grid-clustering: an efficient hierarchical clustering method for very large data sets , 1996, Proceedings of 13th International Conference on Pattern Recognition.
[34] Hans-Peter Kriegel,et al. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.
[35] Tian Zhang,et al. BIRCH: an efficient data clustering method for very large databases , 1996, SIGMOD '96.
[36] Hans-Peter Kriegel,et al. Knowledge Discovery in Large Spatial Databases: Focusing Techniques for Efficient Class Identification , 1995, SSD.
[37] Jiawei Han,et al. Efficient and Effective Clustering Methods for Spatial Data Mining , 1994, VLDB.
[38] Peter J. Rousseeuw,et al. Finding Groups in Data: An Introduction to Cluster Analysis , 1990 .
[39] J. A. Hartigan,et al. A k-means clustering algorithm , 1979 .
[40] J. Hartigan. Direct Clustering of a Data Matrix , 1972 .
[41] Elke Achtert,et al. Robust Clustering in Arbitrarily Oriented Subspaces , 2008, SDM.
[42] Antonio Varlaro,et al. Spatial Clustering of Related Structured Objects for Topographic Map Interpretation , 2005 .
[43] David Taniar,et al. Computational Science and Its Applications - ICCSA 2005, International Conference, Singapore, May 9-12, 2005, Proceedings, Part I , 2005, ICCSA.
[44] Arlindo L. Oliveira,et al. Biclustering algorithms for biological data analysis: a survey , 2004, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[45] 周傲英,et al. Clustering in very large databases based on distance and density , 2008, Journal of Computer Science and Technology.
[46] Huan Liu,et al. Merging Distance and Density Based Clustering , 2001 .
[47] Yvan Bédard,et al. Toward better support for spatial decision making: Defining the characteristics of spatial on-line analytical processing (SOLAP) , 2001 .
[48] Ben Shneiderman,et al. Readings in information visualization - using vision to think , 1999 .
[49] E. F. Codd,et al. Providing OLAP to User-Analysts: An IT Mandate , 1998 .
[50] Max J. Egenhofer,et al. Advances in Spatial Databases , 1997, Lecture Notes in Computer Science.
[51] Beng Chin Ooi,et al. Discovery of General Knowledge in Large Spatial Databases , 1993 .
[52] J. Orlin. Contentment in graph theory: Covering graphs with cliques , 1977 .
[53] Harold Gulliksen,et al. Contributions to mathematical psychology , 1964 .
[54] Rufus Walker,et al. An enumerative technique for a class of combinatorial problems , 1960 .