Package: kamila
Type: Package
Version: 0.1.2
Date: 2020-03-10
Authors@R: c(
    person("Alexander", "Foss", email = "alexanderhfoss@gmail.com",
           role = c("aut", "cre")),
    person("Marianthi", "Markatou", role = c("aut"))
    )
Author: Alexander Foss [aut, cre],
  Marianthi Markatou [aut]
Maintainer: Alexander Foss <alexanderhfoss@gmail.com>
Title: Methods for Clustering Mixed-Type Data
Description: Implements methods for clustering mixed-type data,
  specifically combinations of continuous and nominal data. Special attention
  is paid to the often-overlooked problem of equitably balancing the
  contribution of the continuous and categorical variables. This package
  implements KAMILA clustering, a novel method for clustering
  mixed-type data in the spirit of k-means clustering. It does not require
  dummy coding of variables, and is efficient enough to scale to rather large
  data sets. Also implemented is Modha-Spangler clustering, which uses a
  brute-force strategy to maximize the cluster separation simultaneously in the
  continuous and categorical variables. For more information, see Foss, Markatou,
  Ray, & Heching (2016) <doi:10.1007/s10994-016-5575-7> and Foss & Markatou
  (2018) <doi:10.18637/jss.v083.i13>.
Depends: R (>= 3.0.0)
License: GPL-3 | file LICENSE
URL: https://github.com/ahfoss/kamila
BugReports: https://github.com/ahfoss/kamila/issues
Imports: stats, abind, KernSmooth, gtools, Rcpp, plyr
LinkingTo: Rcpp
Suggests: testthat, clustMD, ggplot2, Hmisc
RoxygenNote: 7.1.0
NeedsCompilation: yes
Packaged: 2020-03-13 04:36:37 UTC; ahfoss
Repository: CRAN
Date/Publication: 2020-03-13 07:20:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 19:52:11 UTC; unix
Archs: kamila.so.dSYM
