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Spectral clustering
Results: 233

#	Item
211	BoostCluster: Boosting Clustering by Pairwise Constraints Yi Liu, Rong Jin, and Anil K. Jain Department of Computer Science and Engineering Michigan State University East Lansing, MI 48824, USA {liuyi3, Add to Reading List Source URL: dataclustering.cse.msu.edu Language: English - Date: 2009-04-06 13:55:29 Machine learning Cluster analysis Data mining Geostatistics Hierarchical clustering Constrained clustering Spectral clustering Single-linkage clustering K-means clustering Statistics Multivariate statistics Data analysis
212	To appear in HCOMP, 2012 Crowdclustering with Sparse Pairwise Labels: A Matrix Completion Approach Jinfeng Yi† , Rong Jin† , Anil K. Jain† , Shaili Jain∗ † Add to Reading List Source URL: biometrics.cse.msu.edu Language: English - Date: 2012-05-18 08:38:40 Data analysis Data mining Geostatistics Spectral clustering Non-negative matrix factorization K-means clustering Matrix Consensus clustering Fuzzy clustering Statistics Multivariate statistics Cluster analysis
213	Approximate Kernel k-means: Solution to Large Scale Kernel Clustering Radha Chitta [removed] Rong Jin Add to Reading List Source URL: biometrics.cse.msu.edu Language: English - Date: 2011-05-22 09:57:22 Cluster analysis K-means clustering Spectral clustering Non-negative matrix factorization BIRCH Determining the number of clusters in a data set Data stream clustering Statistics Multivariate statistics Data analysis
214	¨ biologische Kybernetik Max–Planck–Institut fur Max Planck Institute for Biological Cybernetics Technical Report No. TR-149 Add to Reading List Source URL: www.kyb.mpg.de Language: English - Date: 2007-04-02 08:52:19 Matrix theory Algebraic graph theory Spectral clustering Graph partition Eigenvalues and eigenvectors Spectral graph theory Laplacian matrix Adjacency matrix Generalized eigenvector Algebra Mathematics Linear algebra
215	Finding Planted Partitions in Nearly Linear Time using Arrested Spectral Clustering Nader H. Bshouty Technion Add to Reading List Source URL: www.phillong.info Language: English - Date: 2013-08-07 11:59:10 NP-complete problems Cluster analysis Analysis of algorithms Probabilistic complexity theory Randomized algorithm Connectivity Graph partition Neighbourhood Correlation clustering Graph theory Theoretical computer science Mathematics
216	A Discriminative Framework for Clustering via Similarity Functions Maria-Florina Balcan∗ Avrim Blum∗ Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-03-29 00:03:04 Geostatistics Machine learning Single-linkage clustering Hierarchical clustering K-medians clustering K-means clustering Correlation clustering Spectral clustering Consensus clustering Statistics Cluster analysis Data mining
217	ON DETERMINING THE NUMBER OF CLUSTERS–A COMPARATIVE STUDY By Brian Bies Kathryn Dabbs and Add to Reading List Source URL: ima.umn.edu Language: English - Date: 2011-10-06 10:33:24 Determining the number of clusters in a data set K-means clustering Spectral clustering Computer cluster Fuzzy clustering Consensus clustering Statistics Cluster analysis Multivariate statistics
218	DICTIONARY LEARNING AND SPARSE CODING FOR UNSUPERVISED CLUSTERING By Pablo Sprechmann and Add to Reading List Source URL: ima.umn.edu Language: English - Date: 2011-10-06 10:33:44 Cluster analysis Data analysis Data mining Geostatistics Segmentation K-means clustering Spectral clustering Sparse matrix Pattern recognition Statistics Machine learning Multivariate statistics
219	Notes on Elementary Spectral Graph Theory Applications to Graph Clustering Using Normalized Cuts Add to Reading List Source URL: www.cis.upenn.edu Language: English - Date: 2014-01-24 17:41:37 Graph Adjacency matrix Spectral graph theory Laplacian matrix Degree Directed graph Graph partition Signed graph Graph theory Mathematics Algebraic graph theory
220	Efficient Clustering with Limited Distance Information Konstantin Voevodski Add to Reading List Source URL: www.cc.gatech.edu Language: English - Date: 2010-06-12 07:54:23 Data mining Machine learning Cluster analysis Geostatistics K-means++ K-means clustering Nearest neighbor search Spectral clustering Complete-linkage clustering Statistics Computational statistics Information science

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