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Integrative Generalized Convex Clustering Optimization and Feature
  Selection for Mixed Multi-View Data

Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data

11 December 2019
Minjie Wang
Genevera I. Allen
ArXiv (abs)PDFHTML

Papers citing "Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data"

18 / 18 papers shown
Title
Feature Selection for Data Integration with Mixed Multi-view Data
Feature Selection for Data Integration with Mixed Multi-view Data
Yulia Baker
Tiffany M. Tang
Genevera I. Allen
53
15
0
27 Mar 2019
Dynamic Visualization and Fast Computation for Convex Clustering via
  Algorithmic Regularization
Dynamic Visualization and Fast Computation for Convex Clustering via Algorithmic Regularization
Michael Weylandt
John Nagorski
Genevera I. Allen
73
32
0
06 Jan 2019
Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm
Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm
Defeng Sun
Kim-Chuan Toh
Yancheng Yuan
68
68
0
04 Oct 2018
Recovering Trees with Convex Clustering
Recovering Trees with Convex Clustering
Eric C. Chi
Stefan Steinerberger
44
30
0
28 Jun 2018
Provable Convex Co-clustering of Tensors
Provable Convex Co-clustering of Tensors
Eric C. Chi
Brian R. Gaines
W. Sun
Hua Zhou
Jian Yang
65
44
0
17 Mar 2018
Fast Proximal Linearized Alternating Direction Method of Multiplier with
  Parallel Splitting
Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting
Canyi Lu
Huan Li
Zhouchen Lin
Shuicheng Yan
128
19
0
14 Nov 2015
Statistical Properties of Convex Clustering
Statistical Properties of Convex Clustering
Kean Ming Tan
Daniela Witten
85
89
0
28 Mar 2015
Convex clustering via $\ell_1$ fusion penalization
Convex clustering via ℓ1\ell_1ℓ1​ fusion penalization
P. Radchenko
Gourab Mukherjee
117
37
0
02 Dec 2014
Convex Biclustering
Convex Biclustering
Eric C. Chi
Genevera I. Allen
Richard G. Baraniuk
106
101
0
05 Aug 2014
Sparse K-Means with $\ell_{\infty}/\ell_0$ Penalty for High-Dimensional
  Data Clustering
Sparse K-Means with ℓ∞/ℓ0\ell_{\infty}/\ell_0ℓ∞​/ℓ0​ Penalty for High-Dimensional Data Clustering
Xiangyu Chang
Yu Wang
Rongjian Li
Zongben Xu
76
17
0
31 Mar 2014
A Blockwise Descent Algorithm for Group-penalized Multiresponse and
  Multinomial Regression
A Blockwise Descent Algorithm for Group-penalized Multiresponse and Multinomial Regression
N. Simon
J. Friedman
Trevor Hastie
100
89
0
26 Nov 2013
Linearized Alternating Direction Method with Parallel Splitting and
  Adaptive Penalty for Separable Convex Programs in Machine Learning
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning
Zhouchen Lin
Risheng Liu
Zhixun Su
82
195
0
18 Oct 2013
Identifying cancer subtypes in glioblastoma by combining genomic,
  transcriptomic and epigenomic data
Identifying cancer subtypes in glioblastoma by combining genomic, transcriptomic and epigenomic data
R. Savage
Zoubin Ghahramani
Jim Griffin
Paul D. W. Kirk
D. Wild
52
17
0
12 Apr 2013
Splitting Methods for Convex Clustering
Splitting Methods for Convex Clustering
Eric C. Chi
K. Lange
127
266
0
01 Apr 2013
Bayesian Consensus Clustering
Bayesian Consensus Clustering
E. Lock
David B. Dunson
63
259
0
28 Feb 2013
All-at-once Optimization for Coupled Matrix and Tensor Factorizations
All-at-once Optimization for Coupled Matrix and Tensor Factorizations
E. Acar
T. Kolda
Daniel M. Dunlavy
100
291
0
17 May 2011
Joint and individual variation explained (JIVE) for integrated analysis
  of multiple data types
Joint and individual variation explained (JIVE) for integrated analysis of multiple data types
E. Lock
K. Hoadley
J. S. Marron
A. Nobel
DRL
109
470
0
20 Feb 2011
Adaptive Lasso for High Dimensional Regression and Gaussian Graphical
  Modeling
Adaptive Lasso for High Dimensional Regression and Gaussian Graphical Modeling
Shuheng Zhou
Sara van de Geer
Peter Buhlmann
132
81
0
13 Mar 2009
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