Interactive labelling of a multivariate dataset for supervised machine learning using linked visualisations, clustering, and active learning

• المؤلفون الرئيسيون: Chegini, Mohammad, Bernard, Jürgen, Berger, Philip, Sourin, Alexei, Andrews, Keith, Schreck, Tobias
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2019
• الموضوعات: Engineering::Computer science and engineering; Labelling; Clustering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/86031; http://hdl.handle.net/10220/49845

Supervised machine learning techniques require labelled multivariate training datasets. Many approaches address the issue of unlabelled datasets by tightly coupling machine learning algorithms with interactive visualisations. Using appropriate techniques, analysts can play an active role in a highly...