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Clustering.jl

This package provides a set of algorithms for data clustering.

0.6 0.7 1.0

Travis Coveralls

Installation

Pkg.add("Clustering")

Functionalities

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

Resources

Documentation: http://clusteringjl.readthedocs.org/en/latest/