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clustering.jl's Introduction

Clustering.jl

Methods for data clustering and evaluation of clustering quality.

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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:

clustering.jl's People

Contributors

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Watchers

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