tcnewdata: Create all-numeric data to mimic the inter-point distances...
In treeClust: Cluster Distances Through Trees

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

treeClust produces a vector of dissimilarities, but these objects are large. This function produces a data frame of data whose inter-point distances are related to the treeClust ones, for use in, for example, k-means.

1	tcnewdata(obj, d.num = 1, tbl, mat, trees)

`obj`	Output from a call to `treeClust`.
`d.num`	Integer, 1-4, describing dissimilarity algorithm. See `treeClust`.
`tbl`	Matrix of tree deviances and sizes, if not present in `obj`.
`mat`	Matrix of leaf memberships, if not present in `obj`.
`trees`	List of trees, if not present in `obj` (needed for d.num = 3 or 4),

See the paper by Buttrey and Whitaker. The inter-point distances of this data set "mirror" the treeClust distances, but only if they are computed in a particular non-standard way. This is experimental.

Numeric matrix of data whose inter-point distances match the d1 distances computed by treeClust, and which may be useful for d2-d4 as well.

Sam Buttrey, buttrey@nps.edu

Buttrey and Whitaker, The R Journal, 7/2, 2015.

treeClust

treeClust documentation built on May 1, 2019, 7:59 p.m.