Usage Scenarios for Auto Encoders as alternatives to PCA
85010
What're the differences between PCA and autoencoder?
81949
Using thematic layer for segmentation in eCognition?
154261
PCA when the dimensionality is greater than the number of samples
13787
Why log-transforming the data before performing principal component analysis?
39643
What are the current state-of-the-art convolutional neural networks?
67557
Imputation of missing values for PCA
75113
Different covariance types for Gaussian Mixture Models
118025
Kernel of composition of linear transformations
7632
Interpretation of biplots in principal components analysis
6316
PCA on correlation or covariance?
2632
PCA and the train/test split
137086
Can Convolution Neural Network be useful with encoded categorical features?
6206
How does centering make a difference in PCA (for SVD and eigen decomposition)?
26181
Using principal component analysis (PCA) for feature selection
61480
Why in Variational Auto Encoder (Gaussian variational family) we model $\log\sigma^2$ and not $\sigma^2$ (or $\sigma$) itself?
23935
Performance evaluation of auto.arima in R and UCM on one dataset
77090
Feature map for the Gaussian kernel