Principal Component Analysis (PCA) as a tool for dimensionality reduction is widely used in many areas. In the area of\nbioinformatics, each involved variable corresponds to a specific gene. In order to improve the robustness of PCA-based method,\nthis paper proposes a novel graph-Laplacian PCA algorithm by adopting
Loading....