However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...
1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
To understand and implement the K-Nearest Neighbors (KNN) algorithm for solving classification problems using the Iris dataset. This project demonstrates data preprocessing, model training, evaluation ...
Abstract: K-nearest neighbor classification algorithm can quickly deal with the classification problem in this paper, but when calculating the similarity, it will assign the same weight to all ...
Abstract: This paper analyzes the advantages and disadvantages of KNN alogrithm and introduces an improved KNN alogrithm (WPSOKN) for text classification. It is based on particle swarm optimization ...
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