Kaomojis

πŸ“ŠπŸ“‰βœ¨

#principal component analysis #machine learning #dimensionality reduction

πŸ”¦πŸ§±πŸ–ΌοΈ

#dimensionality reduction #projection #feature extraction #latent space #shadow projection

πŸŒβž‘οΈπŸ—ΊοΈ

#dimensionality reduction #projection #3D to 2D #manifold learning #globe to map

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”΅πŸ”΄β†”οΈπŸ“

#linear discriminant analysis #dimensionality reduction

πŸ“Šβœ¨πŸ“‰

#singular value decomposition #data decomposition #dimensionality reduction #matrix analysis

πŸ§Šβ†˜οΈπŸŸ¦

#mathematical projection #geometric projection #3D to 2D #perspective projection #vector projection #dimensionality reduction