NS k NN Neutrosophic Set Based k Nearest Neighbors Classi er is popular PDF and ePub book, written by Yaman Akbulut in 2024-09-23, it is a fantastic choice for those who relish reading online the Uncategoriezed genre. Let's immerse ourselves in this engaging Uncategoriezed book by exploring the summary and details provided below. Remember, NS k NN Neutrosophic Set Based k Nearest Neighbors Classi er can be Read Online from any device for your convenience.
NS k NN Neutrosophic Set Based k Nearest Neighbors Classi er Book PDF Summary
k-nearest neighbors (k-NN), which is known to be a simple and efficient approach, is a non-parametric supervised classifier. It aims to determine the class label of an unknown sample by its k-nearest neighbors that are stored in a training set. The k-nearest neighbors are determined based on some distance functions. Although k-NN produces successful results, there have been some extensions for improving its precision. The neutrosophic set (NS) defines three memberships namely T, I and F. T, I, and F shows the truth membership degree, the false membership degree, and the indeterminacy membership degree, respectively. In this paper, the NS memberships are adopted to improve the classification performance of the k-NN classifier.
Detail Book of NS k NN Neutrosophic Set Based k Nearest Neighbors Classi er PDF
- Author : Yaman Akbulut
- Release : 23 September 2024
- Publisher : Infinite Study
- ISBN : 978186723xxxx
- Genre : Uncategoriezed
- Total Page : 10 pages
- Language : English
- PDF File Size : 9,9 Mb
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