Semi-supervised Laplacian eigenmaps for dimensionality reduction
Feng Zheng, Na Chen, Luoqing Li · 2008
Dimensionality reduction with prior information is considered. The semi-supervised Laplacian eigenmap algorithm is proposed. It is shown that the performance of dimensionality reduction algorithms can be improved by taking into account the label information of the data. The data analysis and experiments show the validity of our algorithm.