slice: Slice a Hierarchical Clustering Dendrogram with a Mouse
In optpart: Optimal Partitioning of Similarity Relations

Description Usage Arguments Value Note Author(s) See Also Examples

Allows a simple classification of objects by slicing a dendrogram of a hierarchical cluster analysis graphically with a mouse, or by simply giving a number.

1	slice(clust, k=NULL)

`clust`	an object of class ‘hclust’ produced by `hclust`
`k`	a desired number of clusters. If null, the function waits on a mouse click

an object of class ‘clustering’, a list with a vector of cluster memberships

This function is a simple wrapper for cutree that allows users to click their mouse at the height they desire to slice the dendrogram, and to establish the result with a class of ‘clustering’ for ease of use in other functions. If you want to use the mouse, the dendrogram must have been previously plotted in the current graphic device.

David W. Roberts droberts@montana.edu http://ecology.msu.montana.edu/labdsv/R

ordpart

data(shoshveg)
dis.bc <- dsvdis(shoshveg,'bray/curtis')
demo <- hclust(dis.bc,'ave')
ave.5 <- slice(demo,5)
## Not run: plot(demo)
## Not run: ave.clust <- slice(demo)