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Biclustering
Results: 105

#	Item
41	ACCAMS: Additive Co-Clustering to Approximate Matrices Succinctly Alex Beutel Amr Ahmed Add to Reading List Source URL: alexbeutel.com Language: English - Date: 2015-03-09 20:19:28 Matrix theory Cluster analysis Multivariate statistics Data analysis Linear algebra Singular value decomposition K-means clustering Biclustering Normal distribution Algebra Statistics Mathematics
42	Unsupervised Learning of Probabilistic Context-Free Grammar using Iterative Biclustering Kewei Tu and Vasant Honavar Department of Computer Science, Iowa State University, Ames, IA 50011, USA. Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2008-08-04 19:18:32 Grammar Stochastic context-free grammar Formal grammar Context-free grammar Parsing Chomsky normal form Terminal and nonterminal symbols Function CYK algorithm Formal languages Mathematics Logic
43	Exemplar-based Robust Coherent Biclustering Kewei Tu ∗ Xixiu Ouyang Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2011-01-30 19:39:51 Bioinformatics Data analysis Multivariate statistics Sparse matrix Matrix Coherence Statistics Cluster analysis Biclustering
44	LNBI[removed]Biclustering of Expression Microarray Data Using Affinity Propagation Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:01 K-means clustering Segmentation Consensus clustering Clustering high-dimensional data Statistics Cluster analysis Biclustering
45	2010 International Conference on Pattern Recognition Biclustering of expression microarray data with topic models Manuele Bicego∗† , Pietro Lovato∗ , Alberto Ferrarini∗ Massimo Delledonne∗ ∗ University of Ve Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:00 Microarrays Molecular biology Bioinformatics Gene expression Statistical natural language processing Probabilistic latent semantic analysis Gene expression profiling DNA microarray Expectation–maximization algorithm Statistics Biology Science
46	Sparse Learning based Linear Coherent Bi-clustering Yi Shi1⋆ , Xiaoping Liao2 , Xinhua Zhang1 , Guohui Lin1 , and Dale Schuurmans1 1 Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2012-10-02 09:59:21 Data mining Geostatistics Biclustering Statistics Cluster analysis Bioinformatics
47	Thredbo Village, New South Wales August 2014 Daily Weather Observations Date Day Add to Reading List Source URL: www.bom.gov.au Language: English - Date: 2015-03-07 11:14:44 Figure skating at the 1994 Goodwill Games Biclustering
48	30 IP1 Exploring the Power of Heterogeneous Information Networks in Data Mining Multiple typed objects in the real world are interconnected, forming complex heterogeneous information networks. Diﬀerent from some studi Add to Reading List Source URL: www.siam.org Language: English - Date: 2011-04-21 13:49:43 Data analysis Data mining Networks Consensus clustering Community structure Graph theory Link analysis Anomaly detection Biclustering Statistics Cluster analysis Machine learning
49	Co-clustering documents and words using Bipartite Spectral Graph Partitioning Inderjit S. Dhillon Department of Computer Sciences University of Texas, Austin, TX 78712 Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2003-01-30 00:19:46 Information retrieval Multivariate statistics Natural language processing Document clustering Biclustering Graph partition Vector space model K-means clustering Search engine indexing Statistics Information science Cluster analysis
50	Proc. 1st International Workshop on Discovering, Summarizing and Using Multiple Clusterings (MultiClust[removed]in conjunction with 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2010-08-02 08:30:12 Data mining Geostatistics Hierarchical clustering Single-linkage clustering Correlation clustering DBSCAN OPTICS algorithm Biclustering Consensus clustering Statistics Cluster analysis Machine learning