| Name : R-RmixmodCombi
| |
| Version : 1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:42:12
|
| Group : Development/Libraries/Other
| Source RPM : R-RmixmodCombi-1.0-lp153.2.13.src.rpm
|
| Size : 0.52 MB
| |
| Packager : (none)
| |
| Summary : Combining Mixture Components for Clustering
|
Description :
The Rmixmod package provides model-based clustering by fitting a
mixture model (e.g. Gaussian components for quantitative continuous
data) to the data and identifying each cluster with one of its
components. The number of components can be determined from the data,
typically using the BIC criterion. In practice, however, individual
clusters can be poorly fitted by Gaussian distributions, and in that
case model-based clustering tends to represent one non-Gaussian cluster
by a mixture of two or more Gaussian components. If the number of
mixture components is interpreted as the number of clusters, this can
lead to overestimation of the number of clusters. This is because BIC
selects the number of mixture components needed to provide a good
approximation to the density. This package, RmixmodCombi, according to
\\emph{Combining Mixture Components for Clustering} by J.P. Baudry, A.E.
Raftery, G. Celeux, K. Lo, R. Gottardo, combines the components of the
EM/BIC solution (provided by Rmixmod) hierarchically according to an
entropy criterion. This yields a clustering for each number of clusters
less than or equal to K. These clusterings can be compared on
substantive grounds, and we also provide a way of selecting the number
of clusters via a piecewise linear regression fit to the (possibly
rescaled) entropy plot.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
