Comparisons of SVM Kernels for Insurance Data Clustering

This paper will study insurance data clustering using Support Vector Machine (SVM) approaches. It investigates the optimum condition employing the three most popular kernels of SVM, i.e., linear, polynomial, and radial basis kernel. To explore sum insured datasets, kernel comparisons for Root Mean S...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों: Irfan Nurhidayat, Busayamas Pimpunchat, Samad Noeiaghdam, Unai Fernández-Gámiz
स्वरूप: लेख
भाषा:English
प्रकाशित: Ital Publication 2022-05-01
श्रृंखला:Emerging Science Journal
विषय:
ऑनलाइन पहुंच:https://www.ijournalse.org/index.php/ESJ/article/view/1121