Finding Metric Structure in Information Theoretic Clustering Kamalika Chaudhuri University of California, San Diego - Information structure - Document - PDFSEARCH.IO

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	Finding Metric Structure in Information Theoretic Clustering Kamalika Chaudhuri University of California, San Diego Add to Reading List Document Date: 2011-01-01 02:41:47 Open Document File Size: 451,26 KB Share Result on Facebook Company GM / / / Facility Information Theoretic Clustering Kamalika Chaudhuri University of California / j∈[n] i∈[k] Andrew McGregor University of California / / IndustryTerm α-approximation algorithms / polynomial time algorithms / polynomial-time algorithms / guaranteed approximation algorithm / approximation algorithm / inference algorithms / constant factor approximation algorithms / nice algorithm / polynomial-time algorithm / α-approximation algorithm / bad solutions / approximation algorithms / / Organization University of California / San Diego / / Position representative / / ProvinceOrState California / / Technology guaranteed approximation algorithm / α-approximation algorithm / inference algorithms / α-approximation algorithms / approximation algorithm / polynomial-time algorithms / A third algorithm / PKI / polynomial-time algorithm / approximation algorithms / polynomial time algorithms / constant factor approximation algorithms / / URL http / SocialTag Thermodynamics Divergence K-means clustering Information theory Jensen–Shannon divergence Variational Bayesian methods Information bottleneck method Statistics Kullback–Leibler divergence Statistical theory

Finding Metric Structure in Information Theoretic Clustering Kamalika Chaudhuri University of California, San Diego Add to Reading List