Multi-Label Dimensionality Reduction

Liang Sun, Opera Solutions

Shuiwang Ji, Old Dominion University

Jieping Ye, University of Michigan

Link to the book website


The MLDR (Multi-Label Dimensionality Reduction) package implements many popular dimensionality reduction algorithms, with an emphasis on multi-label dimensionality reduction algorithms. Specifically, MLDR implements the following dimensionality reduction algorithms:


Ø  Canonical Correlation Analysis (CCA)

Ø  Orthonormalized Partial Least Squares (OPLS)

Ø  Hypergraph Spectral Learning (HSL)

Ø  Linear Discriminant Analysis (LDA)

Ø  The Shared-Subspace Learning Framework (SSL)



MLDR is distributed for non-commercial use only:


The MLDR software project has been supported by the National Science Foundation (NSF) under Grant No. IIS-0953662.


If you have any comments or questions, please feel free to contact Liang Sun ( or Jieping Ye (