Dataset card

Spectral analysis of distorted and autoencoder-reconstructed MNIST images in a kernel-induced feature space

In this paper, the unsupervised learning spectral methods Principal Component Analysis (PCA) and Kernel Principal Component Analysis (KPCA) were explored. PCA captured the maximum variance of MNIST images, including thei...