πŸ–ΌοΈβ†’βœ¨πŸ“‰k

#eckart-young theorem #data compression #image compression #dimensionality reduction #svd application #low-rank approximation #principal component analysis #pca

πŸ”’β‰ˆπŸ“‰πŸŽ―k

#eckart-young theorem #low-rank approximation #matrix approximation #best approximation #rank k #dimensionality reduction #SVD

πŸ”’πŸ§©βœ‚οΈπŸ…k

#eckart-young theorem #singular value decomposition #SVD #truncated svd #matrix factorization #low-rank approximation #optimal approximation

πŸ”’βž–πŸ‘kβ†’minπŸ€πŸ“

#eckart-young theorem #approximation error #minimum error #frobenius norm #spectral norm #matrix norm #low-rank approximation #optimality condition

UΞ£Vα΅€βœ‚οΈkπŸ‘

#eckart-young theorem #svd equation #truncated svd #singular value decomposition #low-rank approximation #matrix factorization #best approximation