Oct 19 – 23, 2020
Europe/Zurich timezone

UCluster: Unsupervised clustering for HEP

Oct 23, 2020, 11:55 AM
5m
Lightning talk 1 ML for data reduction : Application of Machine Learning to data reduction, reconstruction, building/tagging of intermediate object Workshop

Speaker

Vinicius Massami Mikuni (Universitaet Zuerich (CH))

Description

In this talk I will present an unsupervised clustering (UCluster) method where a neural network is used to reduce the dimensionality of the data, while preserving the event information. The reduced representation is then clustered to a k-means friendly space with a suitable loss function. I will show how this idea can be used to unsupervised multi-class classification and anomaly detection.

Primary author

Vinicius Massami Mikuni (Universitaet Zuerich (CH))

Presentation materials