Kurt Hornik, with contributions from Walter Boehm

RWeka, cba, cclust, flexmix, flexclust, kernlab, mclust

RWeka, cba, cclust, flexmix, flexclust, kernlab, mclust,
relations

RWeka, cba, cclust, flexmix, flexclust, kernlab, mclust,
relations, modeltools

RWeka, ape, cba, cclust, flexmix, flexclust, kernlab, mclust,
relations, modeltools

e1071, lpSolve (>= 5.5.7), quadprog (>= 1.4-8), relations
RWeka, ape, cba, cclust, flexmix, flexclust, kernlab, mclust,
modeltools

e1071, lpSolve (>= 5.5.7), quadprog (>= 1.4-8), relations,
cluster

c(person("Kurt", "Hornik", role = c("aut", "cre"), email =
"Kurt.Hornik@R-project.org"), person("Walter", "Böhm", role =
"ctb"))
Kurt Hornik [aut, cre], Walter Böhm [ctb]

c(person("Kurt", "Hornik", role = c("aut", "cre"),
email = "Kurt.Hornik@R-project.org"),
person("Walter", "Böhm", role = "ctb"))
RWeka, ape, cba, cclust, flexclust, flexmix, kernlab, mclust,
movMF, modeltools
Kurt Hornik [aut, cre],
Walter Böhm [ctb]

c(person("Kurt", "Hornik", role = c("aut", "cre"),
email = "Kurt.Hornik@R-project.org",
comment = c(ORCID = "0000-0003-4198-9911")),
person("Walter", "Böhm", role = "ctb"))
Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>),
Walter Böhm [ctb]

e1071, lpSolve (>= 5.5.2), quadprog (>= 1.4-8),
flexmix, flexclust, kernlab

Clustering Method Based on Local Shrinking
Fang Chang <changf@mathstat.yorku.ca>,
Vincent Carey <stvjc@channing.harvard.edu>,
Weiliang Qiu <stwxq@channing.harvard.edu>,
Ruben H. Zamar <ruben@stat.ubc.ca>,
Ross Lazarus <ross.lazarus@channing.harvard.edu>,
Xiaogang Wang <stevenw@mathstat.yorku.ca>
The package contains functions for automatically estimating
the number of clusters and geting the final cluster partition
without any input parameter except the stopping rule for
convergence. The package also provides functions to evaluate
and compare the performances of partitions of a data set
both numerically and graphically.

Fang Chang <changf@mathstat.yorku.ca>, Vincent Carey
<stvjc@channing.harvard.edu>, Weiliang Qiu
<stwxq@channing.harvard.edu>, Ruben H. Zamar
<ruben@stat.ubc.ca>, Ross Lazarus
<ross.lazarus@channing.harvard.edu>, Xiaogang Wang
<stevenw@mathstat.yorku.ca>
The package contains functions for automatically
estimating the number of clusters and geting the final cluster
partition without any input parameter except the stopping rule
for convergence. The package also provides functions to
evaluate and compare the performances of partitions of a data
set both numerically and graphically.