Abstract: Principal component analysis (PCA) is one of the most versatile techniques for unsupervised dimension reduction, which is implemented as a fundamental preprocessing method in multiple tasks ...

Abstract: This paper studies kernel PCA in a decentralized setting, where data are distributively observed with full features in local nodes, and a fusion center is prohibited. Compared with linear ...

在此对 Jiajun Tang 对本文所作的贡献表示诚挚感谢，他在浙江工商大学完成了应用统计专业的硕士学位，专注数据分析领域。擅长 Python、stata、spss、机器学习、深度学习、数据分析 。 Jiajun Tang 曾在科技领域从事数据分析师相关工作，参与过多源异构数据处理 ...