Train Support Vector Machine Using Fuzzy C-means Without a Prior Knowledge for Hyperspectral Image Content Classification

Train Support Vector Machine Using Fuzzy C-means Without a Prior Knowledge for Hyperspectral Image Content Classification

In this paper, a new cooperative classification method called auto-train support vector machine (SVM) is proposed. This new method converts indirectly SVM to an unsupervised classification method. The main disadvantage of conventional SVM is that it needs a priori knowledge about the data to train...

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Bibliographic Details
Main Author: Akar H. Taher
Format: Article
Language:English
Published: Koya University 2022-09-01
Series:ARO-The Scientific Journal of Koya University
Subjects:
Automatic training
Clustering
Cooperative classification
Fuzzy C-means
Support Vector Machine
Online Access:https://aro.koyauniversity.org/index.php/aro/article/view/1025

Internet

https://aro.koyauniversity.org/index.php/aro/article/view/1025

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