A Binary Classification Algorithm Based on Polyhedral Conic Functions
Makaleler > Tam Makale · 2015
Yazarlar: Nur Uylaş Satı
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Vol 3, Iss 1, Pp 152-161 (2015), Uluslararası, 2015, cilt 3, ss 152-161
Özet
Data classification is one of the main techniques of data mining. Different mathematical programming approaches of the data classification were presented in recent years. A technique that uses polyhedral conic functions (PCF) is an effective method for data classification. We present a modified classification algorithm based on PCF functions. Results of numerical experiments on real-world and synthetic data sets demonstrate that the proposed approach is efficient for solving binary data classification problems.