2 papers
cs.LG2019
Multiclass spectral feature scaling method for dimensionality reduction
Momo Matsuda, Keiichi Morikuni, Akira Imakura +2
Irregular features disrupt the desired classification. In this paper, we consider aggressively modifying scales of features in the original space according to the label information…
stat.ML2018
Spectral feature scaling method for supervised dimensionality reduction
Momo Matsuda, Keiichi Morikuni, Tetsuya Sakurai
Spectral dimensionality reduction methods enable linear separations of complex data with high-dimensional features in a reduced space. However, these methods do not always give the…