6.867 Machine learning, lecture 17 (Jaakkola) 1 Lecture topics: • Mixture models and clustering, k-means - Jaakkola - Document - PDFSEARCH.IO

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	6.867 Machine learning, lecture 17 (Jaakkola) 1 Lecture topics: • Mixture models and clustering, k-means Add to Reading List Document Date: 2015-03-15 16:36:56 Open Document File Size: 175,56 KB Share Result on Facebook Facility Massachusetts Institute of Technology / / IndustryTerm hierarchical agglomerative clustering algorithm / maximum likelihood solution / to other clustering algorithms / hierarchical clustering algorithm / greedy packing algorithm / clustering algorithm / speciﬁc algorithm / / Organization IDF / Massachusetts Institute of Technology / MIT / / ProvinceOrState Massachusetts / / PublishedMedium Machine Learning / / Technology K-means clustering algorithm / clustering algorithm / hierarchical clustering algorithm / speciﬁc algorithm / K-means algorithm / Machine learning / resulting algorithm / hierarchical agglomerative clustering algorithm / same algorithm / EM algorithm / greedy packing algorithm / / URL http / SocialTag Estimation theory Cluster analysis Data mining Expectation–maximization algorithm K-means clustering Information bottleneck method Hierarchical clustering Mixture model Maximum likelihood Statistics

6.867 Machine learning, lecture 17 (Jaakkola) 1 Lecture topics: • Mixture models and clustering, k-meansAdd to Reading List