All Questions
4 questions
-1votes
1answer
68views
Does Anomaly Detection Algorithm works when the features are not correlated?
I am working on an Anomaly Detection Problem and the algorithm I used is an Autoencoder Multivariate Gaussian. The problem with my data is that it is unlabeled and not correlated. For example, let's ...
3votes
1answer
246views
Is train/test-Split in unsupervised learning of neural network necessary?
I am using autoencoder for anomaly detection in warranty data. It is unsupervised. I calculate the reconstruction error by the model and the records with high reconstruction error value is considered ...
- 245
1vote
3answers
3kviews
Cross validation for anomaly detection using autoencoder
I am using autoencoder for anomaly detection in warranty data. I don't have any ground truth labels to confirm whether the anomalies detected by the model is really an anomaly or not. Since I don't ...
- 245
5votes
1answer
712views
Unsupervised feature reduction for anomaly detection with autoencoders
I am collecting a big number of generated numeric features for the task of unsupervised anomaly detection. I can assume that all training data is considered normal. I expect some of the generated ...
- 153
