Dbscan: Fast density-based clustering with R

Michael Hahsler; Matthew Piekenbrock; Derek Doran

doi:10.18637/jss.v091.i01

Dbscan: Fast density-based clustering with R

Michael Hahsler, Matthew Piekenbrock, Derek Doran

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	1
Journal	Journal of Statistical Software
Volume	91
DOIs	https://doi.org/10.18637/jss.v091.i01
State	Published - 2019
Externally published	Yes

ASJC Scopus Subject Areas

Software
Statistics and Probability
Statistics, Probability and Uncertainty

Keywords

DBSCAN
Density-based clustering
Hierarchical clustering
OPTICS

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10.18637/jss.v091.i01

Cite this

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title = "Dbscan: Fast density-based clustering with R",

keywords = "DBSCAN, Density-based clustering, Hierarchical clustering, OPTICS",

author = "Michael Hahsler and Matthew Piekenbrock and Derek Doran",

year = "2019",

doi = "10.18637/jss.v091.i01",

language = "English",

volume = "91",

journal = "Journal of Statistical Software",

issn = "1548-7660",

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TY - JOUR

T1 - Dbscan

T2 - Fast density-based clustering with R

AU - Hahsler, Michael

AU - Piekenbrock, Matthew

AU - Doran, Derek

PY - 2019

Y1 - 2019

KW - DBSCAN

KW - Density-based clustering

KW - Hierarchical clustering

KW - OPTICS

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DO - 10.18637/jss.v091.i01

M3 - Article

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SN - 1548-7660

VL - 91

JO - Journal of Statistical Software

JF - Journal of Statistical Software

M1 - 1

ER -

Dbscan: Fast density-based clustering with R

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this