A Statistics-based Dimension Reduction of the Space of Path Line Attributes for Interactive Visual Flow Analysis
TypePeer reviewed; Journal article
MetadataShow full item record
Recent work has shown the great potential of interactive flow analysis by the analysis of path lines. The choice of suitable attributes, describing the path lines, is, however, still an open question. This paper addresses this question performing a statistical analysis of the path line attribute space. In this way we are able to balance the usage of computing power and storage with the necessity to not loose relevant information. We demonstrate how a carefully chosen attribute set can improve the benefits of state-ofthe art interactive flow analysis. The results obtained are compared to previously published work.
Is part of
CitationProceedings of IEEE Pacific Visualization Symposium (PacificVis 2012), pp. 113-120
Subjectdata analysisdata visualisationstatistical analysisinteractive visual flow analysispath line analysispath line attribute spacestatistical analysisstatistics-based dimension reduction
Copyright IEEE. All rights reserved.
Showing items related by title, author, creator and subject.
EEG Analysis in Adults with Attention-Deficit-Hyperactivity-Disorder. Resting state and behavioural data analysis Marquardt, Lynn Anne (The University of Bergen, 2015-05-31)Introduction: Adults with attention-deficit/hyperactivity disorder (ADHD) are examined by electroencephalography (EEG). EEG is a non-invasive method to measure brain activity indirectly, by measuring voltage changes on the ...Master thesis
Prevention and treatment of cardiovascular disease in Ethiopia saves more than lives: cost-effectiveness analysis, extended cost-effectiveness analysis, and financial risk protection Tolla, Mieraf Taddesse (The University of Bergen, 2018-02-09)Introduction: The burden from cardiovascular disease (CVD) and its risk factors is growing in Ethiopia, especially in urban areas. Yet, the coverage of effective strategies towards its successful control is low. In the ...Doctoral thesis
Nonlinear Analysis of Motor Activity Shows Differences between Schizophrenia and Depression: A Study Using Fourier Analysis and Sample Entropy Hauge, Erik R.; Berle, Jan Øystein; Ødegaard, Ketil Joachim; Holsten, Fred; Fasmer, Ole Bernt (Public Library of Science, 2011-01-28)The purpose of this study has been to describe motor activity data obtained by using wrist-worn actigraphs in patients with schizophrenia and major depression by the use of linear and non-linear methods of analysis. ...Peer reviewedJournal article