@inproceedings{25b5213949d54d27acd4d0dce4cad309,
title = "PCA based oblique decision rules generating",
abstract = "The paper presents the new algorithm of oblique rules induction. On the basis of the initial step that consists in clustering the decision class into subclasses, for every subclass the oblique hypercuboid is generated. Sides of the hypercuboid are parallel and perpendicular to the directions defined by PCA. One hypercuboid corresponds to one decision rule. Results of inducting rules in the new way were compared with other oblique and non-oblique rules sets built on the artificial and real data.",
keywords = "Principal Component Analysis, decision systems, machine learning, oblique rules, rules induction",
author = "Marcin Michalak and Karolina Nurzy{\'n}ska",
year = "2013",
doi = "10.1007/978-3-642-37213-1\_21",
language = "English",
isbn = "9783642372124",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "198--207",
booktitle = "Adaptive and Natural Computing Algorithms - 11th International Conference, ICANNGA 2013, Proceedings",
address = "Germany",
note = "11th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2013 ; Conference date: 04-04-2013 Through 06-04-2013",
}