Implementing K-Means Clustering in C++ from Scratch

🚀 Just built K-Means Clustering from scratch in C++! I implemented the K-Means algorithm step-by-step to understand how clustering works internally. 🔹 Generated random data points 🔹 Calculated Euclidean distance 🔹 Assigned clusters 🔹 Updated centroids iteratively This project helped me understand how data can be grouped efficiently and how clustering is used in real-world applications. 🔗 GitHub: https://lnkd.in/gVYbNAKj Open to feedback and suggestions! #cpp #algorithms #machinelearning #coding #developers

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