Cautious relational clustering: A thresholding approach-Reference-Cited by-同舟云学术

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Cautious relational clustering: A thresholding approach

Published:2020-01 Issue: Volume:139 Page:112837
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Masson Marie-Hélène,Quost Benjamin,Destercke Sébastien^ORCID

Funder

Agence Nationale de la Recherche

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference28 articles.

1. Classification with a reject option using a hinge loss;Bartlett;Journal of Machine Learning Research,2008

2. Clustering gene expression patterns;Ben-Dor;Journal of computational biology,1999

3. Pattern recognition with fuzzy objective function algorithms;Bezdek,1981

4. Assessing a mixture model for clustering with the integrated completed likelihood;Biernacki;IEEE Transactions on Pattern Analysis and Machine Intelligence,2000

5. Models and methods in social network analysis;Carrington,2005

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3. A new data envelopment analysis clustering approach within cross-efficiency framework;Journal of the Operational Research Society;2020-12-23

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