Last data update: 2014.03.03
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R: Sample of Clusterings from Posterior Distribution of Bayesian...
cls.draw1.5 | R Documentation |
Sample of Clusterings from Posterior Distribution of Bayesian Cluster Model
Description
Output of a Dirichlet process mixture model with normal components fitted to the data set Ysim1.5 .
True clusters are given by rep(1:8,each =50).
Usage
data(cls.draw1.5)
Format
matrix with 500 rows and 400 columns. Each row contains a clustering of the 400 observations.
Source
Fritsch, A. and Ickstadt, K. (2009) An improved criterion for clustering based on the
posterior similarity matrix, Bayesian Analysis, accepted.
Results
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