The Classification of Breast Cancer with Machine Learning Techniques
Yükleniyor...
Dosyalar
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, it is aimed to classify breast cancer data attained from UCI(University of California-Irvine), Machine Learning Laboratory with some Machine Learning Techniques. With this aim, clustering performance of some distance measures in Matlab(C) has been compared, using breast cancer data. Later without using any pre-processing, some of the machine learning techniques are used for the clustering breast cancer data, using WEKA data mining software(C). As a result, it has been seen that distance measures effects the clustering performance nearly 12 percentage and the succes of the classification varies from % 45 to % 79, according to the methods.
Açıklama
Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT) -- APR 26-27, 2016 -- Istanbul, TURKEY
WOS: 000387072000008
WOS: 000387072000008
Anahtar Kelimeler
Machine Learning, Breast Cancer, K-means clustering, Fuzzy C-means, Support Vector Machines
Kaynak
2016 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (Ebbt)
WoS Q Değeri
N/A
