Abstract: Classical clustering algorithms such as k-means face limitations in handling clusters with heterogeneous shapes, densities, and sizes, while exhibiting sensitivity to initial centroid ...

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

CCParser is a robust and efficient Python library designed for seamless credit card parsing, validation, and formatting. It can extract card details from clean, delimited strings and messy real-world ...

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 ...

This repository contains the implementation of the granular ball-based feature selection algorithm for multi-label learning, as described in the research paper published in Knowledge-Based Stems. Note ...