IEEE

Comparative Performance Analysis of Decision Tree and K-Nearest Neighbors (KNN) Algorithms for Malformed Food Aroma Classification

Abstract: One example of a significant food industry in Indonesia is the tofu industry. Tofu is very popular and has high nutritional value. However, the emergence of serious issues related to the use ...
GitHub

A fast approximate nearest neighbor search library for Go

Hann is a high-performance approximate nearest neighbor search (ANN) library for Go. It provides a collection of index data structures for efficient similarity search in high-dimensional spaces.
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

Enhanced Kernel k-Nearest Neighbors Regression with Backward Feature Selection

Abstract: This study presents an enhanced kernel $\boldsymbol{k}$-nearest neighbors regression method that incorporates backward feature selection to improve prediction accuracy. The Gaussian, ...