Clust4j Versions Save

A suite of classification clustering algorithm implementations for Java. A number of partitional, hierarchical and density-based algorithms including DBSCAN, k-Means, k-Medoids, MeanShift, Affinity Propagation, HDBSCAN and more.

1.2.4

7 years ago

Added optimizer classes and framework for optimizing any objective function

v1.1.6

8 years ago

Decentralized planner classes in Parameters classes outside of each algorithm, numerous bug fixes, more type-safe Pipeline classes.

v1.0.0

8 years ago

Clust4j's first official release! Current algorithm implementations:

  • AffinityPropagation
  • DBSCAN
  • HDBSCAN
  • HierarchicalAgglomerative
  • KMeans
  • KMedoids
  • MeanShift
  • NearestNeighbors
  • NearestCentroid
  • RadiusNeighbors