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Deterministic Feature Selection for $k$-means Clustering
v1v2v3v4 (latest)

Deterministic Feature Selection for kkk-means Clustering

IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2011
26 September 2011
Christos Boutsidis
M. Magdon-Ismail
ArXiv (abs)PDFHTML

Papers citing "Deterministic Feature Selection for $k$-means Clustering"

12 / 12 papers shown
Fast and Simple Spectral Clustering in Theory and Practice
Fast and Simple Spectral Clustering in Theory and PracticeNeural Information Processing Systems (NeurIPS), 2023
Peter Macgregor
245
10
0
17 Oct 2023
An improved mixture of probabilistic PCA for nonlinear data-driven
  process monitoring
An improved mixture of probabilistic PCA for nonlinear data-driven process monitoringIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2019
Jingxin Zhang
Hao Chen
Songhang Chen
Xia Hong
148
82
0
12 Dec 2020
Online Coresets for Clustering with Bregman Divergences
Online Coresets for Clustering with Bregman Divergences
Rachit Chhaya
Jayesh Choudhari
Anirban Dasgupta
Supratim Shit
130
2
0
11 Dec 2020
A Local Search Framework for Experimental Design
A Local Search Framework for Experimental DesignACM-SIAM Symposium on Discrete Algorithms (SODA), 2020
L. Lau
Hong Zhou
322
10
0
29 Oct 2020
Performance of Johnson-Lindenstrauss Transform for k-Means and k-Medians
  Clustering
Performance of Johnson-Lindenstrauss Transform for k-Means and k-Medians ClusteringSymposium on the Theory of Computing (STOC), 2018
K. Makarychev
Kaizhu Huang
Jeyarajan Thiyagalingam
381
146
0
08 Nov 2018
Proportional Volume Sampling and Approximation Algorithms for A-Optimal
  Design
Proportional Volume Sampling and Approximation Algorithms for A-Optimal Design
Aleksandar Nikolov
Mohit Singh
U. Tantipongpipat
405
54
0
22 Feb 2018
The Informativeness of K -Means for Learning Mixture Models
The Informativeness of K -Means for Learning Mixture Models
Zhaoqiang Liu
Vincent Y. F. Tan
467
7
0
30 Mar 2017
Polynomial Time Algorithms for Dual Volume Sampling
Polynomial Time Algorithms for Dual Volume Sampling
Chengtao Li
Stefanie Jegelka
S. Sra
268
31
0
08 Mar 2017
Feature Selection for Ridge Regression with Provable Guarantees
Feature Selection for Ridge Regression with Provable GuaranteesNeural Computation (Neural Comput.), 2015
Saurabh Paul
P. Drineas
230
33
0
17 Jun 2015
Dimensionality Reduction for k-Means Clustering and Low Rank
  Approximation
Dimensionality Reduction for k-Means Clustering and Low Rank Approximation
Michael B. Cohen
Sam Elder
Cameron Musco
Christopher Musco
Madalina Persu
573
375
0
24 Oct 2014
Functional Principal Component Analysis and Randomized Sparse Clustering
  Algorithm for Medical Image Analysis
Functional Principal Component Analysis and Randomized Sparse Clustering Algorithm for Medical Image AnalysisPLoS ONE (PLoS ONE), 2014
N. Lin
Junhai Jiang
Shicheng Guo
M. Xiong
128
22
0
01 Aug 2014
Feature Selection for Linear SVM with Provable Guarantees
Feature Selection for Linear SVM with Provable GuaranteesPattern Recognition (PR), 2014
Saurabh Paul
M. Magdon-Ismail
P. Drineas
453
61
0
01 Jun 2014
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