iPCA: An Interactive System for PCA-based Visual Analytics

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dc.contributor.authorJeong, Dong Hyunen_US
dc.contributor.authorZiemkiewicz, Carolineen_US
dc.contributor.authorFisher, Brianen_US
dc.contributor.authorRibarsky, Williamen_US
dc.contributor.authorChang, Remcoen_US
dc.contributor.editorH.-C. Hege, I. Hotz, and T. Munzneren_US
dc.date.accessioned2014-02-21T19:50:28Z
dc.date.available2014-02-21T19:50:28Z
dc.date.issued2009en_US
dc.description.abstractPrinciple Component Analysis (PCA) is a widely used mathematical technique in many fields for factor and trend analysis, dimension reduction, etc. However, it is often considered to be a black box operation whose results are difficult to interpret and sometimes counter-intuitive to the user. In order to assist the user in better understanding and utilizing PCA, we have developed a system that visualizes the results of principal component analysis using multiple coordinated views and a rich set of user interactions. Our design philosophy is to support analysis of multivariate datasets through extensive interaction with the PCA output. To demonstrate the usefulness of our system, we performed a comparative user study with a known commercial system, SAS/INSIGHT s Interactive Data Exploration. Participants in our study solved a number of high-level analysis tasks with each interface and rated the systems on ease of learning and usefulness. Based on the participants accuracy, speed, and qualitative feedback, we observe that our system helps users to better understand relationships between the data and the calculated eigenspace, which allows the participants to more accurately analyze the data. User feedback suggests that the interactivity and transparency of our system are the key strengths of our approach.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume28en_US
dc.identifier.doi10.1111/j.1467-8659.2009.01475.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2009.01475.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.titleiPCA: An Interactive System for PCA-based Visual Analyticsen_US
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EuroVis09: Eurographics/ IEEE Symposium on Visualization