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Titlebook: Statistical Models for Data Analysis; Paolo Giudici,Salvatore Ingrassia,Maurizio Vichi Conference proceedings 2013 Springer International

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楼主: 瘦削
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Clustering and Registration of Multidimensional Functional Data,In order to find similarity between multidimensional curves, we consider the application of a procedure that provides a simultaneous assignation to clusters and alignment of such functions. In particular we look for clusters of multivariate seismic waveforms based on EM-type procedure and functional data analysis tools.
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Model-Based Classification Via Patterned Covariance Analysis,heteroscedasticity, homometroscedasticity, homotroposcedasticity, and homoscedasticity. The mixture models are then fitted using all available data (labeled and unlabeled) and adopting the EM and the CEM algorithms. The performance of the proposed procedure is evaluated by a simulation study.
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The Analysis of Network Additionality in the Context of Territorial Innovation Policy: The Case of networks and, in particular, regional technological districts. Our paper deals with Italian Technological Districts: we aim to analyse the network additionality for territorial innovation determined by district policy. The analysis is based on a priori structural regional characteristics and on Social Network Analysis techniques.
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Supervised Classification of Facial Expressions,enging. In this work, we thus consider the problem of classifying facial expressions through shape variables represented by log-transformed Euclidean distances computed among a set of anatomical landmarks.
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Ordering Curves by Data Depth,ific depth definitions are band depth and half-region depth (López-Pintado & Romo (2009). ., 718–734; López-Pintado & Romo (2011). ., 1679–1695). Another research area is local depth (Agostinelli and Romanazzi (2011). ., 817–830.) aimed to identify multiple centers and dense subsets of the space. In
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