# ------------------------------------------------
# CITATION.cff 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 "kernelFactory" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'kernelFactory: Kernel Factory: An Ensemble of Kernel Machines'
version: 0.3.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.kernelFactory
abstract: 'Binary classification based on an ensemble of kernel machines ("Ballings,
  M. and Van den Poel, D. (2013), Kernel Factory: An Ensemble of Kernel Machines.
  Expert Systems With Applications, 40(8), 2904-2913"). Kernel factory is an ensemble
  method where each base classifier (random forest) is fit on the kernel matrix of
  a subset of the training data.'
authors:
- family-names: Ballings
  given-names: Michel
  email: Michel.Ballings@GMail.com
- family-names: Poel
  given-names: Dirk
  name-particle: Van den
preferred-citation:
  type: article
  title: 'Kernel Factory: An Ensemble of Kernel Machines'
  authors:
  - name: Michel Ballings
  - name: Dirk Van den Poel
  journal: Expert Systems With Applications
  volume: Forthcoming
  year: '2013'
repository: https://cranhaven.r-universe.dev
commit: 6d69e98bdc6f441738abe8c9e62b038a65a7d0d0
date-released: '2015-09-29'
contact:
- family-names: Ballings
  given-names: Michel
  email: Michel.Ballings@GMail.com