Prediction for regularized clusterwise multiblock regression

Author:

Bougeard S.1,Cariou V.2,Saporta G.3,Niang N.3

Affiliation:

1. Department of EpidemiologyANSES (French Agency for Food, Environmental and Occupational Health and Safety) 22440 Ploufragan France

2. Statistique, Sensométrie et Chimiométrie (StatSC), Ecole Nationale Vétérinaire, Agroalimentaire et de l'Alimentation Nantes‐Atlantique (ONIRIS)Institut National de la Recherche Agronomique (INRA) 44322 Nantes France

3. Centre d'etudes et de Recherche en Informatique et Communications‐Conservatoire National des Arts et Métiers 75141 Paris France

Publisher

Wiley

Subject

Management Science and Operations Research,General Business, Management and Accounting,Modeling and Simulation

Reference37 articles.

1. Cluster-based analysis of FMRI data

2. Cluster-extent based thresholding in fMRI analyses: Pitfalls and recommendations

3. BockHH.The equivalence of two extremal problems and its application to the iterative classification of multivariate data. Paper presented at: Medizinische Statistik Mathematisches Forschungsinstitut Oberwolfach;1969;Oberwolfach Germany.

4. DidayE.Classification et Sélection de Paramètres sous Contraintes [Technical report].Le Chesnay France:IRIA‐LABORIA;1976.

5. Algorithm 39 Clusterwise linear regression

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