Initial Release of LRE (Linear Reference Elbow) Method

This is the first public release of the LRE (Linear Reference Elbow) method for determining the optimal number of clusters in K-Means.

📦 Included in this release:

• lre.py — modular Python implementation of LRE
• KMeans_LRE.ipynb — notebook demo using Iris and a synthetic 2000 (uniformly and normally) distributions dataset
• requirements.txt — installation dependencies
• LICENSE — MIT license for open use
• README.md — usage guide and citation info

🔖 Developed as part of research presented in:
Yusuf, A. (2025). Computational Implementation of Linear Reference Elbow (LRE) Method for Optimal Cluster Determination in K-Means Algorithm, IOP Conference Series.