@inproceedings{2c1d89b8744340548fbefabfc027fb5c,
title = "An algebraic multi-class classification method",
abstract = "An algebraic multi-class classification method AHSC, i.e. Algebraic Hyper Surface Classification, is proposed. The separating algebraic hyper surface of two-class data may be directly constructed by a single polynomial in theory, but it is too difficult to separate multi-class data by a single polynomial even though the polynomial is multivalued. AHSC can be used for classifying multi-class data by integrating a series of polynomial networks based on binary numbers which are used for labeling the classes of samples. The problem that multi-class data can not always be separated by a single polynomial is solved by AHSC. Moreover, the order of polynomial can be chosen by using an adaptive method. The experiment results show that the new method can efficiently and accurately classify multi-class and high dimension data.",
keywords = "Adaptive, Algebraic hyper surface, Multi-class classification, Polynomial network",
author = "Q. He and Liu, {Zhen Yan} and Shi, {Zhong Zhi}",
year = "2004",
language = "English",
isbn = "0780384032",
series = "Proceedings of 2004 International Conference on Machine Learning and Cybernetics",
pages = "3307--3312",
booktitle = "Proceedings of 2004 International Conference on Machine Learning and Cybernetics",
note = "Proceedings of 2004 International Conference on Machine Learning and Cybernetics ; Conference date: 26-08-2004 Through 29-08-2004",
}