Clustering.jl
Methods for data clustering and evaluation of clustering quality.
Documentation: 
Installation
Pkg.add("Clustering")Features
Clustering Algorithms
- K-means
- K-medoids
- Affinity Propagation
- Density-based spatial clustering of applications with noise (DBSCAN)
- Markov Clustering Algorithm (MCL)
- Fuzzy C-Means Clustering
- Hierarchical Clustering
- Single Linkage
- Average Linkage
- Complete Linkage
- Ward's Linkage
Clustering Validation
- Silhouettes
- Variation of Information
- Rand index
- V-Measure
See Also
Julia packages providing other clustering methods and performance evaluation: