Year 2015, Volume , Issue 1, Pages 17 - 23 2015-01-01

– Because prototype based classifiers are both easy and reasonable methods, there have been many studies on similarity based supervised learning. In order to detect each class region, they should not only appropriately locate the prototypes, but also deal with overfitting and instability. In this study, by considering all these criteria, we develop a new classifier method based on the prototypes selected from dense patterns. While the method determines details of the prototypes, it evades overfitting according to relation of the correct classification accuracy and the number of prototypes. Because of its similarity in point of architecture, we compare it with learning vector quantization (LVQ) method by using some synthetic and benchmark datasets. This comparison shows that our method is better than the other, and it may cause new suggestions on classification and some real applications
– Supervised learning, prototype classifier, learning vector quantization (LVQ), overfitting
Other ID JA46VP52VJ
Journal Section Research Article
Authors

Author: Umut Orhan

Author: Mahmut Hekim

Dates

Publication Date : January 1, 2015

Bibtex @ { jnt381469, journal = {Journal of New Theory}, issn = {2149-1402}, eissn = {2149-1402}, address = {Mathematics Department, Gaziosmanpasa University 60250 Tokat-TURKEY.}, publisher = {Gaziosmanpasa University}, year = {2015}, volume = {}, pages = {17 - 23}, doi = {}, title = {A Novel Supervised Learning Based on Density}, key = {cite}, author = {Orhan, Umut and Hekim, Mahmut} }
APA Orhan, U , Hekim, M . (2015). A Novel Supervised Learning Based on Density. Journal of New Theory , (1) , 17-23 . Retrieved from https://dergipark.org.tr/en/pub/jnt/issue/34527/381469
MLA Orhan, U , Hekim, M . "A Novel Supervised Learning Based on Density". Journal of New Theory (2015 ): 17-23 <https://dergipark.org.tr/en/pub/jnt/issue/34527/381469>
Chicago Orhan, U , Hekim, M . "A Novel Supervised Learning Based on Density". Journal of New Theory (2015 ): 17-23
RIS TY - JOUR T1 - A Novel Supervised Learning Based on Density AU - Umut Orhan , Mahmut Hekim Y1 - 2015 PY - 2015 N1 - DO - T2 - Journal of New Theory JF - Journal JO - JOR SP - 17 EP - 23 VL - IS - 1 SN - 2149-1402-2149-1402 M3 - UR - Y2 - 2020 ER -
EndNote %0 Journal of New Theory A Novel Supervised Learning Based on Density %A Umut Orhan , Mahmut Hekim %T A Novel Supervised Learning Based on Density %D 2015 %J Journal of New Theory %P 2149-1402-2149-1402 %V %N 1 %R %U
ISNAD Orhan, Umut , Hekim, Mahmut . "A Novel Supervised Learning Based on Density". Journal of New Theory / 1 (January 2015): 17-23 .
AMA Orhan U , Hekim M . A Novel Supervised Learning Based on Density. JNT. 2015; (1): 17-23.
Vancouver Orhan U , Hekim M . A Novel Supervised Learning Based on Density. Journal of New Theory. 2015; (1): 23-17.