dc.contributor.author Vuksanovic, Branislav dc.date.accessioned 2015-01-12T13:34:17Z dc.date.available 2015-01-12T13:34:17Z dc.date.created 2014-12-18 dc.date.issued 2015-01-12 dc.identifier.uri http://hdl.handle.net/10630/8650 dc.description.abstract The information age has resulted in masses of data in every field. Techniques to analyse this data are therefore becoming more and more important in all branches of engineering as well. Multivariate data analysis refers to a group of statistical and signal processing techniques and algorithms used to analyse data arising from more than one variable, i.e. it deals with the analysis of multivariable or multidimensional data. es_ES Common multivariate data analysis approach usually applied to multivariate data is data dimensionality reduction. The main aim of dimensionality reduction is to try and preserve as much of information present in the data whilst at the same time, reducing data dimensions of the original set. This usually makes the data set easier to understand as well as to process in a more meaningful way. This presentation will review some of dimensionality reduction techniques and present results achieved by Dr Vuksanovic in applying those techniques during his previous research on various data sets. In particular, multivariate data collected from large distribution grid will be presented and attempt to analyse this data using dimensionality reduction technique known as principal component analysis (PCA) illustrated. Modification of this algorithm, known as singular spectrum analysis (SSA) algorithm will then be explained and the novel idea of using this technique to improve and analyse ground penetrating radar (GPR) measurements explained and discussed. dc.description.sponsorship Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. es_ES dc.language.iso spa es_ES dc.rights info:eu-repo/semantics/openAccess es_ES dc.subject Análisis multivariante es_ES dc.subject Matemáticas para ingenieros es_ES dc.subject.other Multivariate data analysis es_ES dc.subject.other Independent component analysis es_ES dc.title Multivariate data analysis in engineering applications es_ES dc.type info:eu-repo/semantics/conferenceObject es_ES dc.centro E.T.S.I. de Telecomunicación es_ES dc.relation.eventtitle Conferencia es_ES dc.relation.eventplace Malaga es_ES dc.relation.eventdate 18-12-2014 es_ES
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