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3 questions
1vote
1answer
404views
Autoencoder feature extraction plateau
I am working with a large dataset (approximately 55K observations x 11K features) and trying to perform dimensionality reduction to about 150 features. So far, I tried PCA, LDA, and autoencoder. The ...
- 167
2votes
1answer
2kviews
Under what conditions should an autoencoder be chosen over kernel PCA?
I've recently been looking at autoencoders and kernel PCA for unsupervised feature extraction. Lets consider just for a moment linear PCA. Its my understanding that if a autoencoder (with a single ...
- 131
2votes
0answers
2kviews
Feature extraction using autoencoder and assigning sub-features to the classes
I have a dataset with N records and D numerical attributes belonign to C different classes. ...
- 1,255
