clustDDist-package: Clustering (Discrete) Distributions

In clustDDist: Clustering Discrete Distributions

Description

Implements functions for clustering units that are described with distributions. There are two methods that are implemented: adapted leaders method and adapted hierarchical clustering method.

Details

Package:	clustDDist
Type:	Package
Version:	1.0
Date:	2009-02-25
License:	GPL-2
LazyLoad:	yes

Functions and data in the package:

• leaderscomputes clustering with adapted leaders method

• hierarchcomputes clustering with adapted hierarchical method

• from.Leaderscomputes list that allows to start hierarchical method with leaders from leaders method (takes size and units of clusters from leaders method into consideration)

• compute.plot.ordercomputes order for plotting dendrogram of hierarchical method

• patentsdata of citation frequency for US patents, years 1980-1999

Author(s)

Kejzar, N., Korenjak-Cerne, S. and Batagelj, V. Maintainer: Natasa Kejzar <[e-mail]>

References

N. Kejzar, S. Korenjak-Cerne, and V. Batagelj: Clustering of distributions : A case of patent citations.J. classif., 2011, 28, doi: 10.1007/s00357-011-9084-x.

See Also

cluster

clustDDist documentation built on May 2, 2019, 6:47 p.m.