Ysim2 | R Documentation |
Cluster means are given by the 8 possible values of (+/-2, +/-2, +/-2) to which standard normal
noise was added. True clusters are given by rep(1:8,each =50).
data(Ysim2)
matrix with 400 rows and 3 columns.
Simulated by
2 * matrix(c(rep(c(1,1,1),50), rep(c(1,1,-1),50), rep(c(1,-1,1),50), rep(c(-1,1,1),50),
rep(c(1,-1,-1),50), rep(c(-1,1,-1),50), rep(c(-1,-1,1),50), rep(c(-1,-1,-1),50)),
byrow=TRUE, ncol=3) + matrix(rnorm( 400*3),ncol=3)
Fritsch, A. and Ickstadt, K. (2009) An improved criterion for clustering based on the posterior similarity matrix, Bayesian Analysis, accepted.
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