All Questions
5 questions
1vote
1answer
2kviews
How to set the Reconstruction error threshold for anomaly detection using autoencoders?
Hi I am doing anomaly detection using auto encoders.I have trained the model using 'Non Anomalous' values.Now when I give anomalous points as test data. What should be the Reconstruction error ...
- 141
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
1answer
345views
More weightage to a categorical feature for an Autoencoder model
I am using autoencoder for anomaly detection. I don't have any labels already and so its unsupervised. If I have categorical variables, I usually one hot encode before giving it to the model. I would ...
- 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
13votes
3answers
24kviews
How can autoencoders be used for clustering?
Suppose I have a set of time-domain signals with absolutely no labels. I want to cluster them in 2 or 3 classes. Autoencoders are unsupervised networks that learn to compress the inputs. So given an ...
- 255
