bestfit: Identify the Goodness-of-Fit of Cluster Members
In optpart: Optimal Partitioning of Similarity Relations

Description Usage Arguments Details Value Author(s) References See Also Examples

Sorts the members of clusters by maximum similarity goodness-of-fit

1	bestfit(x,cluster)

`x`	an object of class ‘partana’ or ‘silhouette’
`cluster`	a specific cluster number

Simply finds all members of a specific cluster and lists them in order of (1) mean similarity to their cluster (if x is an object of class ‘partana’) or silhouette width (if x is an object of class ‘silhouette’ as produced by functions in package ‘cluster’)

returns a data.frame with cluster members in column ‘ID’ and goodness-of-fit in column ‘fit’

David W. Roberts droberts@montana.edu

http://ecology.msu.montana.edu/labdsv/

typal

data(shoshveg)                      # returns vegetation matrix
dis.bc <- dsvdis(shoshveg,'bray')   # Bray/Curtis dissimilarity matrix 
opt.5 <- optpart(5,dis.bc)          # 5 cluster partition
print(class(opt.5))
fit <- bestfit(opt.5,1)             # goodness-of-fit for cluster 1
sil.5 <- silhouette(opt.5,dis.bc)   # calculate silhouette widths
fit2 <- bestfit(sil.5,1)            # goodness-of-fit for cluster 1