K Means Clustering

📦 Demo(Packaged .exe) | 🎥 Overview Video(3Mins) | 🎥 Tutorial Video(21Mins) | 📄 Quick Start Guide | 📄 Technical Documentation | 💬 Discord Support

🎁🎉🎊🎖️ Showcase product during 23 January 2024 - 6 February 2024 🎁🎉🎊🎖️

Provides robust K Means clustering capabilities right within the editor. Cluster your game data into meaningful groups for analysis, AI behavior design, procedural content creation and more. Includes multi-threaded 2D & 3D clustering for performance along with Blueprint nodes for easy access.

Features:

✅ (V3 Update) Access the Default Shape Dataset (Sphere, Pyramid, Torus, Cylinder, Cone, Conical Frustum, 3D Pinched Torus, Klein Bottle, Möbius Strip)

✅ Perform fast K Means clustering in 2D & 3D directly on point datasets

✅ Multi-threaded processing handles large data sets without blocking game thread

✅ Blueprint nodes give you easy access for scripting cluster analysis

✅ Easy tune number of clusters, iterations and convergence criteria

✅ Get callbacks when clustering calculations complete

✅ Helper methods to generate random input point sets

✅ Extendable C++ API for advanced use cases