@inproceedings{3f11a6417e2444ec9bcb96d38be01f71,
title = "Fuzzy clustering with ε-hyperballs and its application to data classification",
abstract = "In the presented paper the Fuzzy Clustering with ε-Hyperballs being the prototypes is proposed. It is based on the idea of regions of insensitivity - described by the hyperballs of radius ε, in which the distances of objects from the centers of the hyperballs are considered as equal to zero. The proposed clustering was applied to determine the parameters of fuzzy sets in antecedents of the classifier based on fuzzy if-then rules. The classification quality obtained for six benchmark datasets was compared with the reference classifiers. The results show the improvement of the classification accuracy using the proposed method.",
keywords = "Data classification, Fuzzy clustering, Fuzzy if-then rules",
author = "Michal Jezewski and Robert Czabanski and Jacek Leski",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 16th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2017 ; Conference date: 11-06-2017 Through 15-06-2017",
year = "2017",
doi = "10.1007/978-3-319-59060-8\_9",
language = "English",
isbn = "9783319590592",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "84--93",
editor = "Zurada, \{Jacek M.\} and Zadeh, \{Lotfi A.\} and Ryszard Tadeusiewicz and Leszek Rutkowski and Marcin Korytkowski and Rafal Scherer",
booktitle = "Artificial Intelligence and Soft Computing - 16th International Conference, ICAISC 2017, Proceedings",
address = "Germany",
}