cluster.plot: Plot factor/cluster loadings and assign items to clusters by their highest loading.
Description
Cluster analysis and factor analysis are procedures for grouping items in terms of a smaller number of (latent) factors or (observed) clusters. Graphical presentations of clusters typically show tree structures, although they can be represented in terms of item by cluster correlations.
Cluster.plot plots items by their cluster loadings (taken, e.g., from ICLUST). Cluster membership may be assigned apriori or may be determined in terms of the highest (absolute) cluster loading for each item.
If the input is an object of class "kmeans", then the cluster centers are plotted.
A factor analysis or cluster analysis output including the loadings, or a matrix of item by cluster correlations. Or the output from a kmeans cluster analysis.
cluster
A vector of cluster membership
cut
Assign items to clusters if the absolute loadings are > cut
labels
If row.names exist they will be added to the plot, or, if they don't, labels can be specified. If labels =NULL, and there are no row names, then variables are labeled by row number.)