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A new efficient and unbiased approach for clustering quality evaluation

Jean-Charles Lamirel 1 Raghvendra Mall 2 Pascal Cuxac 3 Ghada Safi 4 
1 TALARIS - Natural Language Processing: representation, inference and semantics
Inria Nancy - Grand Est, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
2 IIIT-H - International Institute of Information Technology [Hyperabad]
3 INIST - Institut de l'information scientifique et technique
4 Computer Science Department
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Conference papers
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https://hal.inria.fr/hal-00645395
Contributor : Jean-Charles Lamirel Connect in order to contact the contributor
Submitted on : Monday, November 28, 2011 - 7:05:27 AM
Last modification on : Friday, February 4, 2022 - 3:23:34 AM

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  • HAL Id : hal-00645395, version 1

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CNRS | INRIA | UNIV-LORRAINE | INRIA2 | LORIA | INIST

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Jean-Charles Lamirel, Raghvendra Mall, Pascal Cuxac, Ghada Safi. A new efficient and unbiased approach for clustering quality evaluation. PAKDD 2010 2nd International Workshop on Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE), May 2011, Shenzen, China. ⟨hal-00645395⟩

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