cls.draw1.5 | R Documentation |
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).
data(cls.draw1.5)
matrix with 500 rows and 400 columns. Each row contains a clustering of the 400 observations.
Fritsch, A. and Ickstadt, K. (2009) An improved criterion for clustering based on the posterior similarity matrix, Bayesian Analysis, accepted.
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