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Machine learning / Data mining / Geostatistics / K-means clustering / Correlation clustering / K-medians clustering / Data stream clustering / Single-linkage clustering / Statistics / Cluster analysis / Multivariate statistics


Finding low error clusterings Maria-Florina Balcan Mark Braverman
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Document Date: 2009-05-21 20:12:17

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City

Cambridge / /

Company

Cjo / Clustering Problem / Microsoft / /

Currency

cent / /

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Event

Product Recall / Product Issues / /

IndustryTerm

constant-factor approximation algorithm / c2 approximation algorithm / approximation algorithm / arbitrary c-approximation algorithm / Local search heuristics / β-approximation algorithm / jth / approximation algorithms / spectral algorithm / been in designing approximation algorithms / /

Person

Min-Sum Clustering / Claire Kenyon / M. Charikar / V / W. Fernandez de la Vega / Marek Karpinski / Fernandez de la Vega / Yuval Rabani / R. O. Duda / Maria-Florina Balcan Mark Braverman / /

Position

cluster Cio / Senator / /

Product

Pentax K-x Digital Camera / The Min-sum Clustering / Fact 1 / /

ProgrammingLanguage

C / /

ProvinceOrState

Connecticut / /

PublishedMedium

Machine Learning / Theory of Computing / /

Technology

β-approximation algorithm / constant-factor approximation algorithm / 2.5 approximation algorithm / spectral algorithm / approximation algorithm / arbitrary c-approximation algorithm / Sublinear time algorithms / 3.2 Algorithm / using existing approximation algorithms / approximation algorithms / 2 Fuzzy Min-Sum Algorithm / machine learning / c2 approximation algorithm / designing approximation algorithms / 2.5-approximation algorithm / 1 Min-Sum Algorithm / /

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