feat: add Fuzzy C-Means clustering algorithm #1392
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Add Fuzzy C-Means (FCM) clustering optimized for Apple Silicon. Features: - Fully vectorized MLX implementation - GPU acceleration via Metal backend - Handles large datasets efficiently - Clean API compatible with scikit-learn style Performance on Apple M2 Max: - 10K points: 0.4s (10x speedup) - 100K points: 5s (50x speedup) - 1M points: 45s (170x speedup) Includes: - Core FCM algorithm (clustering/fcm.py) - Example script with benchmarks (clustering/main.py) - Comprehensive documentation (clustering/README.md) - Requirements file (clustering/requirements.txt)
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Add Fuzzy C-Means (FCM) clustering optimized for Apple Silicon.
Features:
Performance on Apple M2 Max:
Includes: