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A Combining Mathematical Programming Method For Multi-Group Data Classification

İsim A Combining Mathematical Programming Method For Multi-Group Data Classification
Yazar Oerkcue, H H, Bal, H
Konu Abundance, Classification, Computational efficiency, Computing time, Mathematical models, Mathematical programming
Tür Süreli Yayın
Dil Belirlenmemiş dil
Dijital Evet
Yazma Hayır
Kütüphane: Washington Üniversitesi
Demirbaş Numarası ISSN: 1303-9709
Kayıt Numarası cdi_proquest_miscellaneous_869836671
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Tarih Gazi University Journal of Science, 1901-01, Vol.24 (1), p.77-84
Notlar In spite of the abundance of articles on mathematical programming models to the two-group classification problem, very few have addressed the multi-group classification problem using mathematical programming. This study presents a new multi-group data classification method based on mathematical programming. A new multi-group data classification model is proposed in this study that includes the strong properties of the mathematical programming models previously suggested for multi-group classification problems in the literature. The efficiency of proposed approach is tested on the well-known IRIS data set. The results on the IRIS data set show that our proposed method is usability and efficient on multi-group classification problems.
Örnek Metin Gazi University Journal of Science, 1901-01, Vol.24 (1), p.77-84
Kaynağa git Washington Üniversitesi University of Washington
University of Washington Washington Üniversitesi
Kaynağa git

A Combining Mathematical Programming Method For Multi-Group Data Classification

Yazar Oerkcue, H H, Bal, H
Konu Abundance, Classification, Computational efficiency, Computing time, Mathematical models, Mathematical programming
Tür Süreli Yayın
Dil Belirlenmemiş dil
Dijital Evet
Yazma Hayır
Kütüphane Washington Üniversitesi
Demirbaş Numarası ISSN: 1303-9709
Kayıt Numarası cdi_proquest_miscellaneous_869836671
Lokasyon Check availability & request options
Tarih Gazi University Journal of Science, 1901-01, Vol.24 (1), p.77-84
Notlar In spite of the abundance of articles on mathematical programming models to the two-group classification problem, very few have addressed the multi-group classification problem using mathematical programming. This study presents a new multi-group data classification method based on mathematical programming. A new multi-group data classification model is proposed in this study that includes the strong properties of the mathematical programming models previously suggested for multi-group classification problems in the literature. The efficiency of proposed approach is tested on the well-known IRIS data set. The results on the IRIS data set show that our proposed method is usability and efficient on multi-group classification problems.
Örnek Metin Gazi University Journal of Science, 1901-01, Vol.24 (1), p.77-84
University of Washington
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