Pairwise FCM based feature weighting for improved classification of vertebral column disorders
Yazarlar (3)
Dr. Öğr. Üyesi Yavuz ÜNAL Amasya Üniversitesi, Türkiye
Prof. Dr. Kemal Polat Bolu Abant İzzet Baysal Üniversitesi, Türkiye
H. Erdinc Kocer
Selçuk Üniversitesi, Türkiye
Selçuk Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Computers in Biology and Medicine (Q3) | ||
| Dergi ISSN | 0010-4825 Dergi Bilgileri (2014) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 03-2014 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 01-03-2014 |
| Cilt / Sayı / Sayfa | 46 / 1 / 61–70 | DOI | 10.1016/j.compbiomed.2013.12.004 |
| Makale Linki | https://www.sciencedirect.com/science/article/abs/pii/S0010482513003557?via%3Dihub | ||
| UAK Araştırma Alanları |
Görüntü İşleme
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| Özet |
| In this paper, an innovative data pre-processing method to improve the classification performance and to determine automatically the vertebral column disorders including disk hernia (DH), spondylolisthesis (SL) and normal (NO) groups has been proposed. In the classification of vertebral column disorders’ dataset with three classes, a pairwise fuzzy C-means (FCM) based feature weighting method has been proposed. In this method, first of all, the vertebral column dataset has been grouped as pairwise (DH-SL, DH-NO, and SL-NO) and then these pairwise groups have been weighted using a FCM based feature set. These weighted groups have been classified using classifier algorithms including multilayer perceptron (MLP), k-nearest neighbor (k-NN), Naive Bayes, and support vector machine (SVM). The general classification performance has been obtained by averaging of classification accuracies obtained … |
| Anahtar Kelimeler |
| Classification | Data pre-processing | Pairwise Fuzzy C-means clustering based feature weighting | Vertebral column |
Science Direct
Pairwise FCM based feature weighting for improved classification of vertebral column disorders
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 23 |
| Scopus | 29 |
| Google Scholar | 33 |