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dc.contributor.authorRIANI Marcoen_GB
dc.contributor.authorPERROTTA Domenicoen_GB
dc.contributor.authorTORTI Francescaen_GB
dc.date.accessioned2012-07-27T00:01:14Z-
dc.date.available2012-07-26en_GB
dc.date.available2012-07-27T00:01:14Z-
dc.date.created2012-06-08en_GB
dc.date.issued2012en_GB
dc.date.submitted2011-11-08en_GB
dc.identifier.citationCHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS vol. 116 no. July 2012 p. 17–32en_GB
dc.identifier.issn0169-7439en_GB
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S0169743912000974en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC67507-
dc.description.abstractWe present the FSDA (Forward Search for Data Analysis) toolbox, a new software library that extends MATLAB and its Statistics Toolbox to support a robust and efficient analysis of complex datasets, affected by different sources of heterogeneity. As the name of the library indicates, the project was born around the Forward Search approach, but it has evolved to include the main traditional robust multivariate and regression techniques, including LMS, LTS, MCD, MVE, MM and S estimation. To address problems where data deviate from typical model assumptions, tools are available for robust data transformation and robust model selection. When different views of the data are available, e.g. a scatterplot of units and a plot of distances of such units from a fitted model, FSDA links such views and offers the possibility to interact with them. For example, selections of objects in a plot are highlighted in the other plots. This considerably simplifies the exploration of the data in view of extracting information and detecting patterns. We show the potential of the FSDA in chemometrics using data from chemical and pharmaceutical problems, where the presence of outliers, multiple groups, deviations from normality and other complex structures are not exceptional circumstances.en_GB
dc.description.sponsorshipJRC.G.2-Global security and crisis managementen_GB
dc.format.mediumPrinteden_GB
dc.languageENGen_GB
dc.publisherELSEVIER SCIENCE BVen_GB
dc.relation.ispartofseriesJRC67507en_GB
dc.titleFSDA: A MATLAB toolbox for robust analysis and interactive data explorationen_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.1016/j.chemolab.2012.03.017en_GB
JRC Directorate:Space, Security and Migration

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