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NP-complete problems / Cluster analysis / Analysis of algorithms / Probabilistic complexity theory / Randomized algorithm / Connectivity / Graph partition / Neighbourhood / Correlation clustering / Graph theory / Theoretical computer science / Mathematics


Finding Planted Partitions in Nearly Linear Time using Arrested Spectral Clustering Nader H. Bshouty Technion
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Document Date: 2013-08-07 11:59:10


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City

Haifa / /

Company

Cambridge University Press / Google / Vertex / J. Comp / /

Country

Jordan / Israel / /

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Facility

University of Utrecht / Saunders College / /

IndustryTerm

lineartime algorithm / spectral clustering algorithms / unbounded algorithm / monte-carlo algorithms / complicated algorithm / computational intensive spectral algorithms / spectral algorithms / spectral algorithm / metropolis algorithm / spectral clustering algorithm / faster algorithm / few related algorithms / probabilistic algorithms / minhash algorithm / polynomial-time clustering algorithms / large-scale clustering algorithms / search engine / Graph bisection algorithms / /

MusicGroup

U2 / /

Organization

Cambridge University / Saunders College / University of Utrecht / K. W. Church / Technion / /

Person

C. A. Ouzounis / R. Motwani / A. J. Enright / Francoise de Statistique / S. Van Dongen / P. Raghavan / Bt / Andrei Z. Broder / Nader H. Bshouty Technion / /

Position

head / author / /

Product

Subsquare / /

ProgrammingLanguage

C / /

PublishedMedium

Machine Learning / /

Technology

NJW algorithm / faster algorithm / spectral algorithms / sampling spectral algorithm / large-scale clustering algorithms / minhash algorithm / time algorithm / somewhat complicated algorithm / resulting spectral clustering algorithms / search engine / Machine Learning / Graph bisection algorithms / monte-carlo algorithms / lineartime algorithm / Algorithm The Subsquare algorithm / few related algorithms / computationally unbounded algorithm / revised algorithm / metropolis algorithm / G. The algorithm / Subsquare algorithm / spectral clustering algorithm / computational intensive spectral algorithms / Simulation / polynomial-time clustering algorithms / /

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