labrijisaad / Apache-beam-k-means

Implementing K-means clustering in sequential, streaming, and distributed formats using Apache Beam.

Apache Beam K-means: Big Data Class Project

Introduction 🌟

Explore and implement K-means clustering in sequential, streaming, and distributed modes using Apache Beam.

Project Objectives 🎯

• Understanding K-means
• Sequential K-Means in Python: Crafting a Python-based model.
• Streaming K-means in Python: Tailoring for dynamic data.
• Apache Beam for Scalability: Large dataset processing.

Results 📈

Check the insights in ./notebooks. Problem statement in ./docs.

Run in Colab 💻

Access the notebook directly on Colab.

Project Architecture 🏗️

Architecture detailed using the Makefile.

Connect 🤝

• 🔗 LinkedIn.