This package Fits a Von Neumann entropy penalized distance metric learning model. The model optimally scales and project multi-class data on directions of maximal dissimilarity for optimal separability.
Package details |
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Author | Kourosh Zarringhalam [aut,cre], Carl Fakhry [aut,cre], Sho Inaba [aut,cre] |
Maintainer | Kourosh Zarringhalam <kourosh.zarringhalam@umb.edu> |
License | GPL (>=3) |
Version | 0.1.0 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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