Information theoretic measures for clusterings comparison: variants, properties, normalization and correction for chance

Vinh Nguyen, Julien Epps, James Bailey

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

Original language	English
Pages (from-to)	2837 - 2854
Number of pages	18
Journal	Journal of Machine Learning Research
Volume	11
Publication status	Published - 2010
Externally published	Yes

Cite this

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title = "Information theoretic measures for clusterings comparison: variants, properties, normalization and correction for chance",

author = "Vinh Nguyen and Julien Epps and James Bailey",

year = "2010",

language = "English",

volume = "11",

pages = "2837 -- 2854",

journal = "Journal of Machine Learning Research",

issn = "1533-7928",

publisher = "Journal of Machine Learning Research (JMLR)",

}

TY - JOUR

T1 - Information theoretic measures for clusterings comparison: variants, properties, normalization and correction for chance

AU - Nguyen, Vinh

AU - Epps, Julien

AU - Bailey, James

PY - 2010

Y1 - 2010

UR - http://jmlr.org/papers/v11/

M3 - Article

SN - 1533-7928

VL - 11

SP - 2837

EP - 2854

JO - Journal of Machine Learning Research

JF - Journal of Machine Learning Research

ER -