7. Eckart-Young: The Closest Rank k Matrix to A

انباری فیزیکی
انباری فیزیکی
100 بار بازدید - 5 سال پیش - MIT 18.065 Matrix Methods in
MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018 Instructor: Gilbert Strang View the complete course: https://ocw.mit.edu/18-065S18 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63oMNUHXqIUcrkS2PivhN3k In this lecture, Professor Strang reviews Principal Component Analysis (PCA), which is a major tool in understanding a matrix of data. In particular, he focuses on the Eckart-Young low rank approximation theorem
5 سال پیش در تاریخ 1398/02/28 منتشر شده است.
100 بـار بازدید شده
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