On a general method for matrix factorisation applied to supervised classification

@article{Nikulin2009OnAG,
  title={On a general method for matrix factorisation applied to supervised classification},
  author={V. Nikulin and Geoffrey J. McLachlan},
  journal={2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop},
  year={2009},
  pages={44-49}
}
We propose a general method for matrix factorization based on decomposition by parts. It can reduce the dimension of expression data from thousands of genes to several factors. Unlike classification and regression, matrix decomposition requires no response variable and thus falls into category of unsupervised learning methods. We demonstrate the… CONTINUE READING