@inproceedings{3a7045bf223f4e1d97b202134d016c74,
title = "An improved cluster oriented fuzzy decision trees",
abstract = "In this paper, an improved cluster oriented decision trees algorithm shortly named ICFDT is presented. In this algorithm, fuzzy C-means clustering algorithm (FCM) without instance labels is used to split the nodes and two novel node expanding criteria are proposed. One criterion uses the ratio of homogenous samples in the node to split; the other splits the node by membership degree without labels. The experimental results in artificial and machine learning datasets show that our method can achieve better performance comparing to standard decision tree named C4.5.",
keywords = "Cluster oriented decision trees, Decision tree, FCM, Node splitting criteria",
author = "Shan SU and Xizhao WANG and Junhai ZHAI",
year = "2009",
doi = "10.1007/978-3-642-10646-0_54",
language = "English",
isbn = "9783642106453",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag, Berlin, Heidelberg",
pages = "447--454",
editor = "Hiroshi SAKAI and CHAKRABORTY, {Mihir Kumar } and HASSANIEN, {Aboul Ella} and Dominik {\'S}L{\c E}ZAK and William ZHU",
booktitle = "Rough Sets, Fuzzy Sets, Data Mining and Granular Computing : 12th International Conference, RSFDGrC 2009, Proceedings",
note = "12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2009 ; Conference date: 15-12-2009 Through 18-12-2009",
}