Package: kpeaks
Type: Package
Title: Determination of K Using Peak Counts of Features for Clustering
Version: 1.1.0
Date: 2020-02-08
Authors@R: c(person("Zeynel", "Cebeci", email = "zcebeci@cukurova.edu.tr", role = c("aut", "cre")), 
     person("Cagatay","Cebeci", role = "aut", email = "cagataycebeci@gmail.com"))
Author: Zeynel Cebeci [aut, cre], Cagatay Cebeci [aut]
Maintainer: Zeynel Cebeci <zcebeci@cukurova.edu.tr>
Description: The number of clusters (k) is needed to start all the
        partitioning clustering algorithms. An optimal value of this
        input argument is widely determined by using some internal
        validity indices. Since most of the existing internal indices
        suggest a k value which is computed from the clustering results
        after several runs of a clustering algorithm they are
        computationally expensive. On the contrary, the package
        'kpeaks' enables to estimate k before running any clustering
        algorithm. It is based on a simple novel technique using the
        descriptive statistics of peak counts of the features in a data
        set.
Depends: R (>= 3.3.0)
License: GPL (>= 2)
LazyData: true
Imports: graphics, stats, utils, methods
NeedsCompilation: no
Packaged: 2026-06-19 08:25:09 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2020-02-08 17:00:02 UTC
RemoteUrl: https://github.com/cran/kpeaks
RemoteRef: HEAD
RemoteSha: 7cb2c9bfdd80718fed0d6a322732fdc8b78ecc11