Subspace Clustering

Keywords

Cluster analysis, Computer science, Linear subspace, Affine transformation, Artificial intelligence

References

• Robust Subspace Segmentation by Low-Rank RepresentationGuangcan Liu, Zhouchen Lin, Yong Yu — 2010
• Estimating the Number of Independent Motions for Multibody Motion SegmentationKenichi Kanatani, Chikara Matsunaga — 2002
• Pattern classification, 2nd EditionRichard O. Duda, Peter E. Hart, David G. Stork — 2000
• Geometric Information Criterion for Model SelectionKenichi Kanatani — 1998
• Nearest q-Flat to m PointsP. Tseng — 2000
• On Single-Sequence and Multi-Sequence FactorizationsLihi Zelnik‐Manor, Michal Irani — 2006
• Robust Algebraic Segmentation of Mixed Rigid-Body and Planar Motions from Two ViewsShankar Rao, Allen Y. Yang, S. Shankar Sastry — 2010
• Segmentation of multivariate mixed data via lossy coding and compressionHarm Derksen, Yi Ma, Wei Hong — 2007
• Kernel Spectral Curvature Clustering (KSCC)Guangliang Chen, Stefan Atev, Gilad Lerman — 2009
• Unsupervised segmentation of natural images via lossy data compressionAllen Y. Yang, John Wright, Yi Ma — 2008
• Sparse subspace clusteringEhsan Elhamifar, René Vidal — 2009
• Estimation of Subspace Arrangements with Applications in Modeling and Segmenting Mixed DataYi Ma, Allen Y. Yang, Harm Derksen — 2008
• The approximation of one matrix by another of lower rankCarl Eckart, Gale Young — 1936
• Hybrid Linear Modeling via Local Best-Fit FlatsTeng Zhang, Arthur Szlam, Yi Wang — 2010
• Subspace clustering for high dimensional data: a reviewLance Parsons, Ehtesham Haque, Huan Liu — 2004
• Hilbert series of subspace arrangementsHarm Derksen — 2005
• Median K-Flats for hybrid linear modeling with many outliersTeng Zhang, Arthur Szlam, Gilad Lerman — 2009
• Spectral Curvature Clustering (SCC)Guangliang Chen, Gilad Lerman — 2009
• An algebraic geometric approach to the identification of a class of linear hybrid systemsRené Vidal, Stefano Soatto, Yi Ma — 2003
• Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paperA. P. Dempster, N. M. Laird, Donald B. Rubin — 1977

Cited by

• Spectral Sparse Representation for Clustering: Evolved from PCA, K-means, Laplacian Eigenmap, and Ratio CutZhenfang Hu, Gang Pan, Yueming Wang — 2014
• Dictionary Learning and Non‐Asymptotic Bounds for Geometric Multi‐Resolution AnalysisMauro Maggioni, Stanislav Minsker, Nate Strawn — 2014
• COROLA: A Sequential Solution to Moving Object Detection Using Low-rank ApproximationMoein Shakeri, Hong Zhang — 2015
• Meta-Analytic Framework for Efficiently Identifying Progression Groups in Highway Condition AnalysisRawle Prince, Matthew D. Byrne, Tony Parry — 2016
• Multiple-object shape and motion reconstruction with missing radar dataGregory Arnold, Matthew Ferrara, Jason T. Parker — 2013
• An efficient matrix bi-factorization alternative optimization method for low-rank matrix recovery and completionYuanyuan Liu, Licheng Jiao, Fanhua Shang — 2013
• An efficient matrix factorization based low-rank representation for subspace clusteringYuanyuan Liu, Licheng Jiao, Fanhua Shang — 2013
• A distance-based point-reassignment heuristic for the k-hyperplane clustering problemE. Amaldi, Stefano Coniglio — 2013
• MR-TRIAGE: Scalable multi-criteria clustering for big data security intelligence applicationsYun Shen, Olivier Thonnard — 2014
• A GENERAL FORMULATION OF CLUSTER ANALYSIS WITH DIMENSION REDUCTION AND SUBSPACE SEPARATIONMichio Yamamoto, Heungsun Hwang — 2014
• Organizing heterogeneous scene collections through contextual focal pointsKai Xu, Rui Ma, Hao Zhang — 2014
• Partition a Quantum Pure-state Set into Unambiguously Discriminable SubsetsJianting Wang, Jianyu Wang, Zhongqian Fu — 2015
• Low Dimensional Localized Clustering (LDLC)Pooyan Khajehpour Tadavani, Ali Ghodsi — 2012
• Abstract principal component analysisTianJiang Li, Qiang Du — 2013
• Recovering piecewise affine maps by sparse optimizationLaurent Bako, Khaled Boukharouba, Stéphane Lecoeuche — 2012
• Subspace clustering of high-dimensional data: a predictive approachBrian McWilliams, Giovanni Montana — 2012
• Reweighted sparse subspace clusteringJun Xu, Kui Xu, Ke Chen — 2015
• Feature Dimension Reduction for Efficient Medical Image Retrieval System using Unified FrameworkYogapriya Jaganathan — 2013
• MapReduce intrusion detection system based on a particle swarm optimization clustering algorithmIbrahim Aljarah, Simone A. Ludwig — 2013
• Classification of microarray cancer data using ensemble approachSajid Nagi, Dhruba K. Bhattacharyya — 2013

Related papers

• Robust Subspace Segmentation by Low-Rank RepresentationGuangcan Liu, Zhouchen Lin, Yong Yu — 2010
• Generalized principal component analysis (GPCA)René Vidal, Yi Ma, S. Shankar Sastry — 2005
• On Spectral Clustering: Analysis and an algorithmAndrew Y. Ng, Michael I. Jordan, Yair Weiss — 2001
• Robust principal component analysis?Emmanuel J. Candès, Xiaodong Li, Yi Ma — 2009
• A Geometric Analysis of Subspace Clustering with OutliersMahdi Soltanolkotabi, Emmanuel J. Candès — 2011
• A tutorial on spectral clusteringUlrike von Luxburg — 2007
• Acquiring linear subspaces for face recognition under variable lightingKuang-Chih Lee, J. Ho, David Kriegman — 2005
• Clustering appearances of objects under varying illumination conditionsJ. Ho, Ming-Husang Yang, Jongwoo Lim — 2003
• From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and PoseAthinodoros S. Georghiades, Peter N. Belhumeur, David Kriegman — 2001
• Normalized cuts and image segmentationJianbo Shi, Jitendra Malik — 2000