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

Optimizing Educational Outcomes Through Machine Learning: Insights from ANN and KNN Models

Abstract: This study addresses the critical issue of college dropout rates by exploring the application of Artificial Neural Network (ANN) and K-Nearest Neighbors (KNN) algorithms for student ...
IEEE

K-Nearest Neighbor Algorithm Based on the Framework of Ordered Pair of Normalized Real Numbers

Abstract: The K-nearest neighbors (kNNs) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...