refine
(Package: optpart) :
Refining a Classification by Re-Assigning Memberships
Refine allows you to re-assign specific elements of a classification from one class or cluster to another. In the default case, you simply interactively enter sample IDs and give a new cluster assignment. For PCO and NMDS ordinations, you do the assignments with a mouse.
testpart
(Package: optpart) :
Identify Misclassified Plots in a Partition
testopt analyzes the mean similarity of each sample to the cluster to which it is assigned to all other clusters, and lists those samples which have similarity higher to another cluster than to the one to which they are assigned.
optsil
(Package: optpart) :
Clustering by Optimizing Silhouette Widths
Silhouette width is a measurement of the mean similarity of each object to the other objects in its cluster, compared to its mean similarity to the most similar cluster (see silhouette). Optsil is an iterative re-allocation algorithm to maximize the mean silhouette width of a clustering for a given number of clusters.
Maximally compact sets is an approach to deriving relatively homogeneous subsets of objects as determined by similarity of the composition of the objects. Maximally compact sets are a covering, as opposed to a partition, of objects. The sets so derived can be tested against random sets of the same size to determine whether a vector of independent data exhibits an improbably restricted distribution within the sets.
tabdev
(Package: optpart) :
Classification Validity Assessment by Table Deviance
Table deviance is a method to assess the quality of classifications by calculating the clarity of the classification with respect to the original data, as opposed to a dissimilarity or distance matrix representation
providing 
.