Identifies samples that typify clusters in a partition based on dissimilarity.
a vector of integers or an object of class ‘clustering’, ‘partition’, or ‘partana’
and object of class ‘dist’ from
number of typal species/cluster to identify
typal calculates two versions of typal species based on silhouette analysis
silhouette) and partana analysis
partana). With respect to silhouette analysis, the
function returns k species with the largest positive silhouette width for each
cluster. With respect to the partana analysis the function returns the k species
with the highest mean similarity to the cluster.
Returns a list with two data.frames. The first, partana, gives the clusters as rows and typal samples as columns from the perspective of the partana ratio. The second, silhouette, also gives the clusters as rows and typal samples as columns but from the perspective of silhouette widths.
David W. Roberts email@example.com
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