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Cluster analysis is a fundamental tool for pattern discovery of complex heterogeneous data.
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Applications of a Splitting Algorithm to Decomposition in Convex Programming and Variational Inequalities
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Regression shrinkage and selection via the lasso
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A multilinear singular value decomposition
Lieven De Lathauwer, Bart De Moor, and Joos Vandewalle · 2000
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Optimization transfer using surrogate objective functions
Kenneth Lange, David R. Hunter, and Ilsoon Yang · 2000
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Variable selection via nonconcave penalized likelihood and its oracle properties
Jianqing Fan and Runze Li · 2001
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Estimating the number of clusters in a data set via the gap statistic
Robert Tibshirani, Guenther Walther, and Trevor Hastie · 2001
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Plaid models for gene expression data
Laura Lazzeroni and Art Owen · 2002
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On spectral clustering: Analysis and an algorithm
Andrew Y. Ng, Michael I. Jordan, and Yair Weiss · 2002
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Iterative signature algorithm for the analysis of large-scale gene expression data
Sven Bergmann, Jan Ihmels, and Naama Barkai · 2003
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Biclustering algorithms for biological data analysis: A survey
Sara C. Madeira and Arlindo L. Oliveira · 2004
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Signal recovery by proximal forward-backward splitting
Patrick L. Combettes and Valérie R. Wajs · 2005
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Convex clustering shrinkage
Kristiaan Pelckmans, Jos De Brabanter, Johan A.K. Suykens, and Bart L.R. De Moor · 2005
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Sparsity and smoothness via the fused lasso
Robert Tibshirani, Michael Saunders, Saharon Rosset, Ji Zhu, and Keith Knight · 2005
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Improved biclustering of microarray data demonstrated through systematic performance tests
Heather Turner, Trevor Bailey, and Wojtek Krzanowski · 2005
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Self-tuning spectral clustering
Lihi Zelnik-Manor and Pietro Perona · 2005
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Collective sampling and analysis of high order tensors for chatroom communications
Evrim Acar, Seyit A. Çamtepe, and Bülent Yener · 2006
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Beyond streams and graphs: dynamic tensor analysis
Jimeng Sun, Dacheng Tao, and Christos Faloutsos · 2006
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Model selection and estimation in regression with grouped variables
Ming Yuan and Yi Lin · 2006
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The adaptive lasso and its oracle properties
Hui Zou · 2006
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Biclustering in data mining
Stanislav Busygin, Oleg Prokopyev, and Panos M. Pardalos · 2008
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Extended Bayesian information criteria for model selection with large model spaces
Jiahua Chen and Zehua Chen · 2008
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Simultaneous tensor subspace selection and clustering: The equivalence of high order SVD and k-means clustering
Heng Huang, Chris Ding, Dijun Luo, and Tao Li · 2008
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Scalable tensor decompositions for multi-aspect data mining
Tamara G. Kolda and Jimeng Sun · 2008
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Penalized clustering of large scale functional data with multiple covariates
Ping Ma and Wenxuan Zhong · 2008
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One-step sparse estimates in nonconcave penalized likelihood models
Hui Zou and Runze Li · 2008
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Unsupervised multiway data analysis: A literature survey
Evrim Acar and Bülent Yener · 2009
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A fast iterative shrinkage-thresholding algorithm for linear inverse problems
Amir Beck and Marc Teboulle · 2009
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Approximation algorithms for tensor clustering
Stefanie Jegelka, Suvrit Sra, and Arindam Banerjee · 2009
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Tensor decompositions and applications
Tamara G. Kolda and Brett W. Bader · 2009
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Multivis: Content-based social network exploration through multi-way visual analysis
Jimeng Sun, Spiros Papadimitriou, Ching-Yung Lin, Nan Cao, Shixia Liu, and Weihong Qian · 2009
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ggplot2: Elegant Graphics for Data Analysis
Hadley Wickham · 2009
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A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis
Daniela M. Witten, Robert Tibshirani, and Trevor Hastie · 2009
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Sparse reconstruction by separable approximation
Stephen J. Wright, Robert D. Nowak, and Mário A.T. Figueiredo · 2009
Provable tensor factorization with missing data
Prateek Jain and Sewoong Oh · 2014
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Solution path clustering with adaptive concave penalty
Yuliya Marchetti and Qing Zhou · 2014
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Sparse biclustering of transposable data
Kean Ming Tan and Daniela M. Witten · 2014
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Convex optimization procedure for clustering: Theoretical revisit
Changbo Zhu, Huan Xu, Chenlei Leng, and Shuicheng Yan · 2014
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Matlab tensor toolbox version 2.6
Brett W. Bader, Tamara G. Kolda, et al · 2015
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Multiobjective triclustering of time-series transcriptome data reveals key genes of biological processes
Anirban Bhar, Martin Haubrock, Anirban Mukhopadhyay, and Edgar Wingender · 2015
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Biclustering via sparse singular value decomposition
Mihee Lee, Haipeng Shen, Jianhua Z. Huang, and J. S. Marron · 2010
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Stability Selection
Nicolai Meinshausen and Peter Bühlmann · 2010
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Majorization-minimization algorithms for nonsmoothly penalized objective functions
Elizabeth D. Schifano, Robert L. Strawderman, and Martin T. Wells · 2010
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Sparse regression with exact clustering
Yiyuan She · 2010
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Grouping pursuit through a regularization solution surface
Xiaotong Shen and Hsin-Cheng Huang · 2010
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Nearly unbiased variable selection under minimax concave penalty
Cun-Hui Zhang · 2010
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Robust face clustering via tensor decomposition
Xiaochun Cao, Xingxing Wei, Yahong Han, and Dongdai Lin · 2015
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Convex clustering: An attractive alternative to hierarchical clustering
Gary K. Chen, Eric C. Chi, John Michael O. Ranola, and Kenneth Lange · 2015
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Splitting methods for convex clustering
Eric C. Chi and Kenneth Lange · 2015
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Tensor decompositions for signal processing applications: From two-way to multiway component analysis
Andrzej Cichocki, Danilo Mandic, Lieven De Lathauwer, Guoxu Zhou, Qibin Zhao, Cesar Caiafa, and Huy Anh Phan · 2015
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FASTA: A generalized implementation of forward-backward splitting, January 2015
Tom Goldstein, Christoph Studer, and Richard Baraniuk · 2015
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Discovering patterns in time-varying graphs: A triclustering approach
Romain Guigourès, Marc Boullé, and Fabrice Rossi · 2015
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Network lasso: Clustering and optimization in large graphs
David Hallac, Jure Leskovec, and Stephen Boyd · 2015
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Statistical properties of convex clustering
Kean Ming Tan and Daniela Witten · 2015
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Random weighted projections, random quadratic forms and random eigenvectors
Van Vu and Ke Wang · 2015
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Hierarchical coupled-geometry analysis for neuronal structure and activity pattern discovery
Gal Mishne, Ronen Talmon, Ron Meir, Jackie Schiller, Maria Lavzin, Uri Dubin, and Ronald R. Coifman · 2016
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Matrix and tensor decomposition in recommender systems
Panagiotis Symeonidis · 2016
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Matrix and Tensor Factorization Techniques for Recommender Systems
Panagiotis Symeonidis and Andreas Zioupos · 2016
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Tensorlab 3.0, Mar. 2016
Nico Vervliet, Otto Debals, Laurent Sorber, Marc Van Barel, and Lieven De Lathauwer · 2016
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Identifying multi-dimensional co-clusters in tensors based on hyperplane detection in singular vector spaces
Hongya Zhao, Debby D. Wang, Long Chen, Xinyu Liu, and Hong Yan · 2016
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Topic tensor factorization for recommender system
Xiaolin Zheng, Weifeng Ding, Zhen Lin, and Chaochao Chen · 2016
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Convex biclustering
Eric C. Chi, Genevera I. Allen, and Richard G. Baraniuk · 2017
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A simplified form of block-iterative operator splitting and an asynchronous algorithm resembling the multi-block alternating direction method of multipliers
Jonathan Eckstein · 2017
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Tensor methods and recommender systems
Evgeny Frolov and Ivan Oseledets · 2017
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Characterizing spatiotemporal transcriptome of human brain via low rank tensor decomposition
Tianqi Liu, Ming Yuan, and Hongyu Zhao · 2017
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Report: Google is the default iPhone search engine because it paid Apple $1 billion
Caitlin McGarry · 2017
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S-HOT: Scalable High-Order Tucker Decomposition
Jinoh Oh, Kijung Shin, Evangelos E. Papalexakis, Christos Faloutsos, and Hwanjo Yu · 2017
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Convex clustering via l1 fusion penalization
Peter Radchenko and Gourab Mukherjee · 2017
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Tensor decomposition for signal processing and machine learning
Nicholas D. Sidiropoulos, Lieven De Lathauwer, Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, and Christos Faloutsos · 2017
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Provable sparse tensor decomposition
Will Wei Sun, Junwei Lu, Han Liu, and Guang Cheng · 2017
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Reconstruction of normal forms by learning informed observation geometries from data
Or Yair, Ronen Talmon, Ronald R. Coifman, and Ioannis G. Kevrekidis · 2017
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Robust multilinear tensor rank estimation using higher order singular value decomposition and information criteria
Tatsuya Yokota, Namgil Lee, and Andrzej Cichocki · 2017
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Multilayer tensor factorization with applications to recommender systems
Xuan Bi, Annie Qu, and Xiaotong Shen · 2018
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Recovering trees with convex clustering
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Dynamic tensor clustering
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Randomized algorithms for low-rank tensor decompositions in the Tucker format
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