R: Perform Hierarchical Clustering for Vectors with a GPU
gpuHclust
R Documentation
Perform Hierarchical Clustering for Vectors with a GPU
Description
This function performs clustering on a set of points. The distance between
each pair of points should be calculated first using a function like
'gpuDist' or 'dist'.
Usage
gpuHclust(distances, method = "complete")
Arguments
distances
a class of type "dist" containing floating point numbers
representing distances between points. R's native dist function and
the gpuDist function produce output of this type.
method
a string representing the name of the clustering method to be
applied to distances. Currently supported method names include
"average", "centroid", "complete", "flexible", "flexible group",
"mcquitty", "median", "single", "ward", and "wpgma".
Value
Copied from the native R function 'hclust' documentation. A class of
type "hclust" with the following attributes.
merge
an n-1 by 2 matrix. Row i of 'merge' describes the merging of
clusters at step i of the clustering. If an element j in the
row is negative, then observation -j was merged at this
stage. If j is positive then the merge was with the cluster
formed at the (earlier) stage j of the algorithm. Thus
negative entries in 'merge' indicate agglomerations of
singletons, and positive entries indicate agglomerations of
non-singletons. Copied from the native R function 'hclust'
documentation.
order
a vector giving the permutation of the original observations
suitable for plotting, in the sense that a cluster plot using
this ordering and matrix 'merge' will not have crossings of
the branches.
height
a set of n-1 non-decreasing real values. The clustering
height: that is, the value of the criterion associated with
the clustering 'method' for the particular agglomeration.
providing 
.