Print a cluster posterior similarity matrix
print.dpmixgpd_cluster_psm.RdCompact display for a posterior similarity matrix.
Usage
# S3 method for class 'dpmixgpd_cluster_psm'
print(x, ...)Details
A posterior similarity matrix records pairwise co-clustering probabilities on the training sample. Its \((i,j)\) entry is the posterior probability that observations \(i\) and \(j\) share the same latent cluster across the retained MCMC draws.
The printed header reports only matrix size and bookkeeping information. Use
summary.dpmixgpd_cluster_psm() for numerical summaries and
plot.dpmixgpd_cluster_psm() for a visual heatmap.
See also
predict.dpmixgpd_cluster_fit(), summary.dpmixgpd_cluster_psm(),
plot.dpmixgpd_cluster_psm().
Other cluster workflow:
dpmgpd.cluster(),
dpmix.cluster(),
plot.dpmixgpd_cluster_bundle(),
plot.dpmixgpd_cluster_fit(),
plot.dpmixgpd_cluster_labels(),
plot.dpmixgpd_cluster_psm(),
predict.dpmixgpd_cluster_fit(),
print.dpmixgpd_cluster_bundle(),
print.dpmixgpd_cluster_fit(),
print.dpmixgpd_cluster_labels(),
summary.dpmixgpd_cluster_bundle(),
summary.dpmixgpd_cluster_fit(),
summary.dpmixgpd_cluster_labels(),
summary.dpmixgpd_cluster_psm()