Hard Clustering
- K-Means
- K-Modes
- K-Prototypes (to implement)
- SOM
- Numerical values SOM
- Mixed values SOM
- Density algorithms
- \epsilon-Proximity (any data type)
- Exact quadratic version
- Approximate scalable version
- DBSCAN (any data type)
- Exact quadratic version
- Approximate scalable version
- \epsilon-Proximity (any data type)
- Mean Shift (numerical values)
- Exact quadratic version
- Approximate scalable version