Spectral clustering - PDFSEARCH.IO - Document Search Engine

Spectral clustering
Results: 233

#	Item
181	IPN Progress Report[removed]November 15, 2005 Semi-Supervised Data Summarization: Using Spectral Libraries to Improve Add to Reading List Source URL: ml.jpl.nasa.gov Language: English - Date: 2005-12-02 17:26:24 Imaging Cluster analysis Data mining K-means clustering Hyperspectral imaging Spectral clustering Airborne Real-time Cueing Hyperspectral Enhanced Reconnaissance Consensus clustering Segmentation Statistics Spectroscopy Remote sensing
182	Finding Planted Partitions in Nearly Linear Time using Arrested Spectral Clustering Nader H. Bshouty Department of Computer Science, Technion, 32000 Haifa, Israel Philip M. Long Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:35 NP-complete problems Cluster analysis Graph coloring Analysis of algorithms Probabilistic complexity theory Randomized algorithm Connectivity Neighbourhood Graph partition Graph theory Theoretical computer science Mathematics
183	Active Image Clustering: Seeking Constraints from Humans to Complement Algorithms Arijit Biswas and David Jacobs Computer Science Department University of Maryland, College Park [removed], djacobs@umiacs.u Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2012-04-04 12:53:02 Consensus clustering Hierarchical clustering Fuzzy clustering K-means clustering Spectral clustering Document clustering BIRCH Single-linkage clustering Statistics Cluster analysis Constrained clustering
184	On Information-Maximization Clustering: Tuning Parameter Selection and Analytic Solution Masashi Sugiyama [removed] Makoto Yamada Add to Reading List Source URL: www.icml-2011.org Language: English - Date: 2011-06-01 14:49:37 Estimation theory Machine learning Signal processing Cluster analysis K-means clustering Expectation–maximization algorithm Spectral clustering Maximum likelihood Principal component analysis Statistics Multivariate statistics Data analysis
185	Eigenvalue Sensitive Feature Selection Yi Jiang Jiangtao Ren Sun Yat-sen University, Guangzhou, Guangdong, 510006, P.R.China Abstract Add to Reading List Source URL: www.icml-2011.org Language: English - Date: 2011-06-01 14:49:37 Spectral theory Differential operators Linear algebra Matrix theory Spectral clustering Eigenvalues and eigenvectors Laplace operator Spectrum Algebra Mathematical analysis Mathematics
186	Semi-supervised Graph Clustering: A Kernel Approach Brian Kulis [removed] Sugato Basu [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:06 Cluster analysis Geostatistics Multivariate statistics K-means clustering Spectral clustering Correlation clustering Kernel trick Segmentation Graph partition Statistics Machine learning Computational statistics
187	Clustering Through Ranking On Manifolds Markus Breitenbach Dept. of Computer Science; University of Colorado, Boulder, USA BREITENM @ CS . COLORADO . EDU Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:18 Data mining Geostatistics Machine learning K-means clustering Spectral clustering Segmentation Consensus clustering CURE data clustering algorithm Statistics Multivariate statistics Cluster analysis
188	Error Bounds for Correlation Clustering Thorsten Joachims [removed] Cornell University, Dept. of Computer Science, 4153 Upson Hall, Ithaca, NY[removed]USA John Hopcroft Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:23 K-means clustering Graph partition Biclustering Spectral clustering Consensus clustering Fuzzy clustering Statistics Cluster analysis Correlation clustering
189	Spectral Clustering with Inconsistent Advice Tom Coleman James Saunderson Anthony Wirth The University of Melbourne, Victoria 3010 Australia Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-01 19:34:06 Cluster analysis Multivariate statistics Linear algebra Matrix theory Data mining Spectral clustering Semidefinite programming K-means clustering Correlation clustering Statistics Mathematics Algebra
190	Dynamic Non-Parametric Mixture Models and The Recurrent Chinese Restaurant Process : with Applications to Evolutionary Clustering Amr Ahmed Eric Xing School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-02-01 08:51:44 Markov models Multivariate statistics Data mining K-means clustering Data stream clustering Mixture model Dirichlet process Hidden Markov model Spectral clustering Statistics Machine learning Cluster analysis

UPDATE