IEEE

Multiobjective Optimization of Antenna Inverse Design With Data Augmentation Based on K-Means-NN

Abstract: To enhance the accuracy of the inverse model with a limited number of antenna sample points, a data augmentation method based on K-means and forward neural networks (FNNs) is proposed. In ...
IEEE

Comparing Logistic Regression Algorithm with K-Nearest Neighbor Algorithm to Extract Features from Images for Prescriptive Analysis of Mushroom Contamination

Abstract: In this project, we aimed to assess mushroom contamination by analyzing images using two different algorithms: a novel K-Nearest Neighbour algorithm and a traditional Logistic Regression ...
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Reduced row echelon form (RREF) in Python – algorithm from scratch

Learn how to implement the Reduced Row Echelon Form (RREF) algorithm from scratch in Python! Step-by-step, we’ll cover the theory, coding process, and practical examples for solving linear systems.
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Build k-nearest neighbors from scratch in Python – step by step tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, coding process, and practical examples to help you understand how KNN works ...