Interactive labelling of a multivariate dataset for supervised machine learning using linked visualisations, clustering, and active learning
Authors:
- Mohammad CheginiMCMohammad Chegini
- Jürgen BernardJBJürgen Bernard
- Philip BergerPBPhilip Berger
- Alexei SourinASAlexei Sourin
- Keith AndrewsKAKeith Andrews
- Tobias SchreckTSTobias Schreck
Open Access
- 1 March 2019
- journal article
- research article
- Published by Elsevier in Visual Informatics
- Vol. 3 (1) , 9-17
Abstract
No abstract availableKeywords
This publication has 23 references indexed in Scilit:
- Visual analytics for concept exploration in subspaces of patient groupsBrain Informatics, 2016
- Cluster Sculptor, an interactive visual clustering systemNeurocomputing, 2015
- An Approach to Supporting Incremental Visual Data ClassificationIEEE Transactions on Visualization and Computer Graphics, 2014
- iVisClustering: An Interactive Visual Document Clustering via Topic ModelingComputer Graphics Forum, 2012
- Inactive learning?ACM SIGKDD Explorations Newsletter, 2011
- Two-Dimensional Multilabel Active Learning with an Efficient Online Adaptation Model for Image ClassificationIEEE Transactions on Pattern Analysis and Machine Intelligence, 2008
- ColorBrewer.org: An Online Tool for Selecting Colour Schemes for MapsThe Cartographic Journal, 2003
- Chameleon: hierarchical clustering using dynamic modelingComputer, 1999
- The plane with parallel coordinatesThe Visual Computer, 1985
- Least squares quantization in PCMIEEE Transactions on Information Theory, 1982