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Cluster analysis / Multivariate statistics / Linear algebra / Matrix theory / Data mining / Spectral clustering / Semidefinite programming / K-means clustering / Correlation clustering / Statistics / Mathematics / Algebra


Spectral Clustering with Inconsistent Advice Tom Coleman James Saunderson Anthony Wirth The University of Melbourne, Victoria 3010 Australia
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Document Date: 2015-05-04 03:09:24

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City

Asuncion / Helsinki / /

Company

Neural Information Processing Systems / X. / Xing / Russell / Coleman / /

Country

Jordan / Finland / /

Currency

pence / /

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Facility

Carnegie Mellon University / Inconsistent Advice Tom Coleman James Saunderson Anthony Wirth The University of Melbourne / University of California / /

IndustryTerm

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Organization

Computer Science Division / University of California / University of Melbourne / Victoria / Robotics Institute / Carnegie Mellon University / Australian Research Council / Pattern Analysis and Machine Intelligence / /

Person

Tom Coleman James Saunderson Anthony Wirth / Malik / T MB v v / Ian Davidson / Shi / /

PoliticalEvent

Congressional Voting / /

Position

author / /

Product

Ncut solution / Ncut / /

ProvinceOrState

California / Victoria / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / Machine Learning / The Journal of Machine Learning Research / Theory of Computing / /

Technology

spectral algorithm / classic k-means algorithms / 2CC Algorithms / artificial intelligence / pure spectral algorithm / constraint-based clustering algorithm / approximation algorithms / data mining / 3-approximation algorithm / Machine Learning / basic spectral clustering algorithm / final spectral algorithm / /

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