4th Inter-experiment Machine Learning Workshop

UCluster: Unsupervised clustering for HEP

23 Oct 2020, 11:55

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.

Presentation materials

UCluster_quick.pdf

Vinicius Massami Mikuni.mp4