A curated list of 20 clustering algorithms implemented in or accessible via Scikit-learn 🧠 These algorithms are widely used for unsupervised learning, pattern discovery, and data segmentation.

Spherical and Conic Cosmic Web Finders with Extended SCMS Algorithms

Python3 Implementation of (Subspace Constrained) Mean Shift Algorithm in Euclidean and Directional Product Spaces

This repo contains a collection of desktop apps showcasing key concepts in computer vision

👩🏻‍🚀 10- DataMining- This repo implements the Mean Shift clustering algorithm, which finds clusters by shifting points toward higher density areas without needing a preset number of clusters. It includes implementation code, comparisons with K-Means, and applications like video tracking and face recognition.

Explore and try a number of image segmentaion and clustering algorithms. Binarize images using otsu, optimal, and multi-modal thresholding.