A supervised clustering approach for fMRI-based inference of brain states

DOI10.1016/J.PATCOG.2011.04.006zbMath1234.92046DBLPjournals/pr/MichelGVEKT12arXiv1104.5304OpenAlexW2024933578WikidataQ55214443 ScholiaQ55214443MaRDI QIDQ408011

Vincent Michel, Alexandre Gramfort, Bertrand Thirion, Evelyn Eger, Gaël Varoquaux, Christine Keribin

Publication date: 28 March 2012

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1104.5304

zbMATH Keywords

predictiondimension reductionhierarchical clusteringmulti-scale analysisbrain readingfeature agglomeration

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Neural biology (92C20) Biomedical imaging and signal processing (92C55) Artificial intelligence (68T99)

Related Items (2)

Unnamed Item ⋮ A dynamic multi-reduction algorithm for brain functional connection pathways analysis

Uses Software

• LIBSVM
• Scikit
• glmnet
• PRMLT

Cites Work

• Learning to decode cognitive states from brain images
• Support-vector networks
• Hierarchical clustering schemes
• Regularization and Variable Selection Via the Elastic Net
• Unnamed Item
• Unnamed Item

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