Time-sensitive Dirichlet process mixture models
FigsharePublished 30 June 2018Open access
Xiaojin Zhu, Zoubin Ghahramani, John Lafferty
Citations61
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TL;DR
Time-Sensitive Dirichlet Process Mixture models for clustering are introduced that allow infinite mixture components and have the ability to model time correlations between instances.
Abstract
Abstract: "We introduce Time-Sensitive Dirichlet Process Mixture models for clustering. The models allow infinite mixture components just like standard Dirichlet process mixture models. However they also have the ability to model time correlations between instances."
Keywords
Computer Science
Journal of Computational and Graphical StatisticsMarkov Chain Sampling Methods for Dirichlet Process Mixture Models
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