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pro vyhledávání: '"Khanzadeh, Michael"'
Principal Component Analysis (PCA) is a workhorse of modern data science. While PCA assumes the data conforms to Euclidean geometry, for specific data types, such as hierarchical and cyclic data structures, other spaces are more appropriate. We study
Externí odkaz:
http://arxiv.org/abs/2301.02750
Publikováno v:
IEEE Transactions on Signal Processing; 2024, Vol. 72 Issue: 1 p4428-4443, 16p
