Introduction to stream: An Extensible Framework for Data Stream Clustering Research with R

Michael Hahsler, Matthew Bolaños, John Forrest

Open source

DOI: 10.18637/jss.v076.i14
Published: 2017
Container: Journal of Statistical Software
Publisher: Foundation for Open Access Statistic
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.18637/jss.v076.i14,
  title = {Introduction to <b>stream</b>: An Extensible Framework for Data Stream Clustering Research with <i>R</i>},
  author = {Michael Hahsler and Matthew Bolaños and John Forrest},
  year = {2017},
  journal = {Journal of Statistical Software},
  doi = {10.18637/jss.v076.i14},
  url = {https://doi.org/10.18637/jss.v076.i14}
}

RIS

TY  - JOUR
TI  - Introduction to <b>stream</b>: An Extensible Framework for Data Stream Clustering Research with <i>R</i>
AU  - Michael Hahsler
AU  - Matthew Bolaños
AU  - John Forrest
PY  - 2017
JO  - Journal of Statistical Software
DO  - 10.18637/jss.v076.i14
UR  - https://doi.org/10.18637/jss.v076.i14
ER  -

APA

Hahsler, M., Bolaños, M., & Forrest, J. (2017). Introduction to stream: An Extensible Framework for Data Stream Clustering Research with R. Journal of Statistical Software. https://doi.org/10.18637/jss.v076.i14

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crossref · retrieved 2026-09-25T05:26:39.085Z