主成分分析 - code Te-Sheng Lin (林得勝) Last updated on Dec 20, 2023 1 min read Calculus, Computational Mathematics, Linear algebra, Machine_learning Click here to view this notebook in full screen dimension_reduction PCA unsupervised_learning python Te-Sheng Lin (林得勝) Professor The focus of my research is concerned with the development of analytical and computational tools, and further to communicate with scientists from other disciplines to solve engineering problems in practice. Related 主成分分析 - 0 Diffusion maps 主成分分析 - 2 主成分分析 Multidimensional scaling