Recommendations for Possible Merging of Clusters
Presents an ordered list of possible cluster combinations to consider for merging to simplify a classification.
consider(part)
part |
an object of class ‘partana’ from functions
|
Simply sorts the cluster-to-cluster mean similarity matrix of a ‘partana’ object into a list sorted by mean similarity.
a data.frame with three elements:
row |
the current cluster number |
col |
the cluster to which it is most similar |
vals |
the mean similarity of the two clusters |
The listed combinations are not suggested to be optimal by any specific
criterion. In fact, if the ‘partana’ object was generated by optpart
or bestopt it is known that the suggested combinations are sub-optimal.
Nevertheless, sometimes it is desirable to simplify a classification for other reasons.
David W. Roberts droberts@montana.edu
optpart, bestopt
data(shoshveg) # returns a vegetation data.frame
dis.bc <- dsvdis(shoshveg,'bray') # calculates a Bray/Curtis
# dissimilarity matrix
opt.5 <- optpart(5,dis.bc) # generates a 5 cluster partition
consider(opt.5) # recommends possible clusters to mergePlease choose more modern alternatives, such as Google Chrome or Mozilla Firefox.