The Classification Society
  • The Fundamental Clustering Problems Suite (FCPS) offers a variety of clustering problems any algorithm shall be able to handle when facing real world data. FCPS serves as an elementary benchmark for clustering algorithms.
  • Fionn Murtagh maintains a list of Multivariate Data Analysis Software and Resources
  • StatLib
  • The R Project for Statistical Computing
  • Octave
  • GNU Scientific Library
  • GGobi is an open source visualization program for exploring high-dimensional data.
  • PDL ("Perl Data Language") gives standard Perl the ability to compactly store and speedily manipulate the large N-dimensional data arrays which are the bread and butter of scientific computing.
  • Scientific computing with Python
  • Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.


The Classification Society is a non-profit organization. Contact information can be found here.

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