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Clustering of functional data in a low-dimensional subspace

Yamamoto, Michio - In: Advances in Data Analysis and Classification 6 (2012) 3, pp. 219-247

functional objects and also find an optimal subspace for clustering, simultaneously. The method is based on the k-means criterion … for functional data and seeks the subspace that is maximally informative about the clustering structure in the data. An …

Persistent link: https://www.econbiz.de/10010846119

Linear dimension reduction in classification: adaptive procedure for optimum results

Luebke, Karsten; Weihs, Claus - In: Advances in Data Analysis and Classification 5 (2011) 3, pp. 201-213

Persistent link: https://www.econbiz.de/10009324947

Dimension reduction for model-based clustering via mixtures of multivariate <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$t$$</EquationSource> <EquationSource Format="M...

Morris, Katherine; McNicholas, Paul; Scrucca, Luca - In: Advances in Data Analysis and Classification 7 (2013) 3, pp. 321-338

We introduce a dimension reduction method for model-based clustering obtained from a finite mixture of <InlineEquation … can be projected onto the subspace and the resulting set of variables captures most of the clustering structure available …

Persistent link: https://www.econbiz.de/10010995284

Regularized logistic discrimination with basis expansions for the early detection of Alzheimer’s disease based on three-dimensional MRI data

Araki, Yuko; Kawaguchi, Atsushi; Yamashita, Fumio - In: Advances in Data Analysis and Classification 7 (2013) 1, pp. 109-119

In recent years, evidence has emerged indicating that magnetic resonance imaging (MRI) brain scans provide valuable diagnostic information about Alzheimer’s disease. It has been shown that MRI brain scans are capable of both diagnosing Alzheimer’s disease itself at an early stage and...

Persistent link: https://www.econbiz.de/10010846122

Graphical tools for model-based mixture discriminant analysis

Scrucca, Luca - In: Advances in Data Analysis and Classification 8 (2014) 2, pp. 147-165

extension of an existing work on reducing dimensionality for model-based clustering based on Gaussian mixtures. Information on …

Persistent link: https://www.econbiz.de/10010794021

Tag SNP selection based on clustering according to dominant sets found using replicator dynamics

Frommlet, Florian - In: Advances in Data Analysis and Classification 4 (2010) 1, pp. 65-83

Persistent link: https://www.econbiz.de/10008486743

An update algorithm for restricted random walk clustering for dynamic data sets

Franke, Markus; Geyer-Schulz, Andreas - In: Advances in Data Analysis and Classification 3 (2009) 1, pp. 63-92

Persistent link: https://www.econbiz.de/10005061376

A latent variables approach for clustering mixed binary and continuous variables within a Gaussian mixture model

Morlini, Isabella - In: Advances in Data Analysis and Classification 6 (2012) 1, pp. 5-28

Persistent link: https://www.econbiz.de/10010539348

A tail dependence-based dissimilarity measure for financial time series clustering

Luca, Giovanni De; Zuccolotto, Paola - In: Advances in Data Analysis and Classification 5 (2011) 4, pp. 323-340

Persistent link: https://www.econbiz.de/10009404123

Model-based clustering and segmentation of time series with changes in regime

Samé, Allou; Chamroukhi, Faicel; Govaert, Gérard; … - In: Advances in Data Analysis and Classification 5 (2011) 4, pp. 301-321

Persistent link: https://www.econbiz.de/10009404127