Finding the mean in a partition distribution

Finding the mean in a partition distribution

Abstract Background Bayesian clustering algorithms, in particular those utilizing Dirichlet Processes (DP), return a sample of the posterior distribution of partitions of a set. However, in many applied cases a single clustering solution is desired, requiring a ’best’ partition to be created from th...

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Bibliographic Details
Main Authors: Thomas J. Glassen, Timo von Oertzen, Dmitry A. Konovalov
Format: Article
Language:English
Published: BMC 2018-10-01
Series:BMC Bioinformatics
Subjects:
Mean partition
Partition distance
Bayesian clustering
Dirichlet Process
Online Access:http://link.springer.com/article/10.1186/s12859-018-2359-z

Internet

http://link.springer.com/article/10.1186/s12859-018-2359-z

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