PFW: Polygonal Fuzzy Weighted—An SVM Kernel for the Classification of Overlapping Data Groups

PFW: Polygonal Fuzzy Weighted—An SVM Kernel for the Classification of Overlapping Data Groups

Support vector machines are supervised learning models which are capable of classifying data and measuring regression by means of a learning algorithm. If data are linearly separable, a conventional linear kernel is used to classify them. Otherwise, the data are normally first transformed from input...

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Bibliographic Details
Main Authors: Saman Shojae Chaeikar, Azizah Abdul Manaf, Ala Abdulsalam Alarood, Mazdak Zamani
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Electronics
Subjects:
data classification
SVM
machine learning
SVM kernel
feature
feature space
Online Access:https://www.mdpi.com/2079-9292/9/4/615

Internet

https://www.mdpi.com/2079-9292/9/4/615

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