The network, SAUCIE — or sparse autoencoder for unsupervised clustering, imputation, and embedding — simultaneously analyzes and visualizes large datasets. Though the program could be used for other ...

We introduce unFEAR, Unsupervised Feature Extraction Clustering, to identify economic crisis regimes. Given labeled crisis and non-crisis episodes and the corresponding features values, unFEAR uses ...

Anomaly detection using a deep neural autoencoder is not a well-known technique. An advantage of using a neural technique compared to a standard clustering technique is that neural techniques can ...