@inproceedings{3f9edc2bd2fe48febfbd15b84f23500b,
title = "Fuzzy co-clustering with automated variable weighting",
abstract = "We propose two fuzzy co-clustering algorithms based on the double Kmeans algorithm. Fuzzy approaches are known to require more computation time than hard ones but the fuzziness principle allows a description of uncertainties that often appears in real world applications. The first algorithm proposed, fuzzy double Kmeans (FDK) is a fuzzy version of double Kmeans (DK). The second algorithm, weighted fuzzy double Kmeans (W-FDK), is an extension of FDK with automated variable weighting allowing co-clustering and feature selection simultaneously. We illustrate our contribution using Monte Carlo simulations on datasets with different parameters and real datasets commonly used in the co-clustering context.",
author = "Charlotte Laclau and \{De Carvalho\}, \{Francisco De A.T.\} and Mohamed Nadif",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015 ; Conference date: 02-08-2015 Through 05-08-2015",
year = "2015",
month = nov,
day = "25",
doi = "10.1109/FUZZ-IEEE.2015.7337802",
language = "English",
series = "IEEE International Conference on Fuzzy Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Adnan Yazici and Pal, \{Nikhil R.\} and Uzay Kaymak and Trevor Martin and Hisao Ishibuchi and Chin-Teng Lin and Sousa, \{Joao M. C.\} and Bulent Tutmez",
booktitle = "FUZZ-IEEE 2015 - IEEE International Conference on Fuzzy Systems",
}