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:

• QuickShiftClustering.jl
• SpectralClustering.jl
• ClusteringBenchmarks.jl