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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "blockcluster" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'blockcluster: Co-Clustering Package for Binary, Categorical, Contingency and
  Continuous Data-Sets'
version: 4.5.5
doi: 10.18637/jss.v076.i09
identifiers:
- type: doi
  value: 10.32614/CRAN.package.blockcluster
abstract: Simultaneous clustering of rows and columns, usually designated by biclustering,
  co-clustering or block clustering, is an important technique in two way data analysis.
  It consists of estimating a mixture model which takes into account the block clustering
  problem on both the individual and variables sets. The 'blockcluster' package provides
  a bridge between the C++ core library build on top of the 'STK++' library, and the
  R statistical computing environment. This package allows to co-cluster binary <https://doi.org/10.1016/j.csda.2007.09.007>,
  contingency <https://doi.org/10.1080/03610920903140197>, continuous <https://doi.org/10.1007/s11634-013-0161-3>
  and categorical data-sets <https://doi.org/10.1007/s11222-014-9472-2>. It also provides
  utility functions to visualize the results. This package may be useful for various
  applications in fields of Data mining, Information retrieval, Biology, computer
  vision and many more. More information about the project and comprehensive tutorial
  can be found on the link mentioned in URL.
authors:
- family-names: Iovleff
  given-names: Serge
  email: Serge.Iovleff@stkpp.org
- family-names: Singh Bhatia
  given-names: Parmeet
  email: bhatia.parmeet@gmail.com
preferred-citation:
  type: article
  title: 'blockcluster: An R Package for Model-Based Co-Clustering'
  authors:
  - family-names: Singh Bhatia
    given-names: Parmeet
    email: bhatia.parmeet@gmail.com
  - family-names: Iovleff
    given-names: Serge
    email: serge.iovleff@inria.fr
  - family-names: Govaert
    given-names: G\'erard
    email: gerard.govaert@utc.fr
  journal: Journal of Statistical Software
  year: '2017'
  volume: '76'
  issue: '9'
  doi: 10.18637/jss.v076.i09
  start: '1'
  end: '24'
repository: https://CRAN.R-project.org/package=blockcluster
url: https://gitlab.inria.fr/iovleff/blockcluster
date-released: '2024-01-23'
contact:
- family-names: Iovleff
  given-names: Serge
  email: Serge.Iovleff@stkpp.org