Hub Toolbox 2.3.0

The HUB TOOLBOX now supports the following hubness reduction methods:

• Mutual Proximity (Empiric, Gauss, Indep. Gauss, Indep. Gamma)
• Local Scaling (Normal, NICDM)
• Shared Nearest Neighbors
• Centering (Normal, Weighted, Localized)
• DisSim (Global, Local)

Most methods now support (sparse) similarity matrices.

Most methods now support train/test splits.

MP and hubness functions now support parallel processing.

Performance improvements for several methods.

Vast unit test coverage.