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Separating populations with wide data: A spectral analysis
v1v2 (latest)

Separating populations with wide data: A spectral analysis

International Symposium on Algorithms and Computation (ISAAC), 2007
25 June 2007
Avrim Blum
A. Coja-Oghlan
A. Frieze
Shuheng Zhou
ArXiv (abs)PDFHTML

Papers citing "Separating populations with wide data: A spectral analysis"

6 / 6 papers shown
Title
Semidefinite programming on population clustering: a local analysis
Semidefinite programming on population clustering: a local analysis
Shuheng Zhou
220
0
0
23 Nov 2023
Semidefinite programming on population clustering: a global analysis
Semidefinite programming on population clustering: a global analysis
Shuheng Zhou
273
1
0
01 Jan 2023
Leave-one-out Singular Subspace Perturbation Analysis for Spectral
  Clustering
Leave-one-out Singular Subspace Perturbation Analysis for Spectral ClusteringAnnals of Statistics (Ann. Stat.), 2022
A. Zhang
Harrison H. Zhou
122
18
0
30 May 2022
Robust Hierarchical Clustering
Robust Hierarchical ClusteringJournal of machine learning research (JMLR), 2013
Maria-Florina Balcan
Yingyu Liang
Pramod Gupta
NoLa
320
146
0
01 Jan 2014
Learning Mixtures of Gaussians using the k-means Algorithm
Learning Mixtures of Gaussians using the k-means Algorithm
Kamalika Chaudhuri
S. Dasgupta
Andrea Vattani
376
36
0
01 Dec 2009
Learning Balanced Mixtures of Discrete Distributions with Small Sample
Learning Balanced Mixtures of Discrete Distributions with Small Sample
Shuheng Zhou
179
0
0
10 Feb 2008
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