Provides a visualisation of the cluster means computed from the optidigits data set, recast as images. Cluster labels are aligned with the true labels using simulated annealing to maximise the trace of the confusion matrix (or subset if number of clusters != number of classes.)
a vector of cluster assignments. Must take values in 1:k, where k is the number of clusters.
Lichman, M. (2013) UCI Machine Learning Repository. Irvine, CA: University of California, School of Information and Computer Science. https://archive.ics.uci.edu/ml
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