Separating populations with wide data: a spectral analysis
type: Item
instance of: scholarly article
title: Separating populations with wide data: a spectral analysis
zbMATH Open document ID: 1326.62136
DOI: 10.1214/08-EJS289
author: Amin Coja-Oghlan
author: Shuheng Zhou
author: Avrim Blum
author: Alan Frieze
published in: Electronic Journal of Statistics
publication date: 2013-05-27T00:00:00Z
full work available at URL: https://projecteuclid.org/euclid.ejs/1233176791
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62M15
zbMATH DE Number: 6166434
zbMATH Keywords: mixture of product distributions
zbMATH Keywords: clustering
zbMATH Keywords: small sample
zbMATH Keywords: spectral analysis
describes a project that uses: STRUCTURE
describes a project that uses: Eigenstrat
Wikidata QID: Q57401476
MaRDI profile type: Publication
cites work: Learning Theory
cites work: Learning mixtures of arbitrary gaussians
cites work: Q2934698
cites work: An Adaptive Spectral Heuristic for Partitioning Random Graphs
cites work: Evolutionary trees can be learned in polynomial time in the two-state general Markov model
cites work: PAC Learning Axis-Aligned Mixtures of Gaussians with No Separation Assumption
cites work: Q5682350
cites work: On the learnability of discrete distributions
cites work: Some estimates of norms of random matrices
cites work: Fast computation of low rank matrix approximations
cites work: Concentration of norms and eigenvalues of random matrices
cites work: Learning nonsingular phylogenies and hidden Markov models
cites work: Genetics, Alzheimer’s Disease, and Long-Term Care Insurance
cites work: Spectral norm of random matrices
description: scientific article; zbMATH DE number 6166434