TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
IEEE

Applying the K Nearest Neighbor algorithm (KNN) in a microwave filter

Abstract: this study introduces a novel approach employing the K-nearest neighbor (KNN) algorithm for designing a planar microwave filter. It explores the application of supervised machine learning ...
Microsoft

Welfarist Formulations for Diverse Similarity Search

Nearest Neighbor Search (NNS) is a fundamental problem in data structures with wide-ranging applications, such as web search, recommendation systems, and, more recently, retrieval-augmented ...
IEEE

Yellowfin Tuna Meat Grading Using Computer Vision and k-Nearest Neighbors Algorithm

Abstract: This study presents a computer vision system for grading yellowfin tuna meat using the k-nearest neighbors (k-NN) algorithm. The system utilizes a studio-type light box and a high-definition ...