Advances in Data Analysis and Classification

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Bayesian nonstationary Gaussian process models via treed process convolutions
Advances in Data Analysis and Classification - Tập 13 - Trang 797-818 - 2018
Waley W. J. Liang, Herbert K. H. Lee
The Gaussian process is a common model in a wide variety of applications, such as environmental modeling, computer experiments, and geology. Two major challenges often arise: First, assuming that the process of interest is stationary over the entire domain often proves to be untenable. Second, the traditional Gaussian process model formulation is computationally inefficient for large datasets. In ...... hiện toàn bộ
Variational inference for semiparametric Bayesian novelty detection in large datasets
Advances in Data Analysis and Classification - - Trang 1-23 - 2023
Luca Benedetti, Eric Boniardi, Leonardo Chiani, Jacopo Ghirri, Marta Mastropietro, Andrea Cappozzo, Francesco Denti
After being trained on a fully-labeled training set, where the observations are grouped into a certain number of known classes, novelty detection methods aim to classify the instances of an unlabeled test set while allowing for the presence of previously unseen classes. These models are valuable in many areas, ranging from social network and food adulteration analyses to biology, where an evolving...... hiện toàn bộ
Editorial
Advances in Data Analysis and Classification - - 2011
Hans‐Hermann Bock, Wolfgang Gaul, Akinori Okada, Maurizio Vichi
Parsimonious cluster systems
Advances in Data Analysis and Classification - Tập 3 - Trang 189-204 - 2009
François Brucker, Alain Gély
We introduce in this paper a new clustering structure, parsimonious cluster systems, which generalizes phylogenetic trees. We characterize it as the set of hypertrees stable under restriction and prove that this set is in bijection with a known dissimilarity model: chordal quasi-ultrametrics. We then present one possible way to graphically represent elements of this model.
CLUSKEXT: CLUstering model for SKew-symmetric data including EXTernal information
Advances in Data Analysis and Classification - Tập 12 - Trang 43-64 - 2015
Donatella Vicari
A CLUstering model for SKew-symmetric data including EXTernal information (CLUSKEXT) is proposed, which relies on the decomposition of a skew-symmetric matrix into within and between cluster effects which are further decomposed into regression and residual effects when possible external information on the objects is available. In order to fit the imbalances between objects, the model jointly searc...... hiện toàn bộ
Robust estimation of efficient mean–variance frontiers
Advances in Data Analysis and Classification - Tập 5 - Trang 3-22 - 2011
Luigi Grossi, Fabrizio Laurini
Standard methods for optimal allocation of shares in a financial portfolio are determined by second-order conditions which are very sensitive to outliers. The well-known Markowitz approach, which is based on the input of a mean vector and a covariance matrix, seems to provide questionable results in financial management, since small changes of inputs might lead to irrelevant portfolio allocations....... hiện toàn bộ
Functional data clustering: a survey
Advances in Data Analysis and Classification - Tập 8 - Trang 231-255 - 2013
Julien Jacques, Cristian Preda
Clustering techniques for functional data are reviewed. Four groups of clustering algorithms for functional data are proposed. The first group consists of methods working directly on the evaluation points of the curves. The second groups is defined by filtering methods which first approximate the curves into a finite basis of functions and second perform clustering using the basis expansion coeffi...... hiện toàn bộ
Correction to: Multivariate cluster weighted models using skewed distributions
Advances in Data Analysis and Classification - Tập 16 - Trang 1097-1097 - 2021
Michael P. B. Gallaugher, Salvatore D. Tomarchio, Paul D. McNicholas, Antonio Punzo
In the original publication of the article, the line after equation (5) has been published incorrectly
Where are the large and difficult datasets?
Advances in Data Analysis and Classification - Tập 3 - Trang 25-38 - 2009
Adrien Jamain, David J. Hand
A great many comparative performance assessments of classification rules have been undertaken, ranging from small ones involving just one or two methods, to large ones involving many tens of methods. We are undertaking a meta-analytic study of these studies, attempting to distil some overall conclusions. This paper describes just one of our observations. The dataset analysed in this paper contains...... hiện toàn bộ
Mixture model averaging for clustering
Advances in Data Analysis and Classification - Tập 9 - Trang 197-217 - 2014
Yuhong Wei, Paul D. McNicholas
In mixture model-based clustering applications, it is common to fit several models from a family and report clustering results from only the ‘best’ one. In such circumstances, selection of this best model is achieved using a model selection criterion, most often the Bayesian information criterion. Rather than throw away all but the best model, we average multiple models that are in some sense clos...... hiện toàn bộ
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