Combining unsupervised and supervised learning techniques for enhancing the performance of functional data classifiers

DOI10.1007/S00180-022-01259-8MaRDI QIDQ6538417

Fabrizio Maturo, Rosanna Verde

Publication date: 14 May 2024

Published in: Computational Statistics (Search for Journal in Brave)

zbMATH Keywords

functional data analysisfunctional random forestaugmented labelsfunctional k-meansfunctional supervised classification

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Cites Work

• A partial overview of the theory of statistics with functional data
• Curves discrimination: a nonparametric functional approach
• PLS classification on functional data
• Robust estimation and classification for functional data via projection-based depth notions
• Functional data classification: a wavelet approach
• Functional data clustering: a survey
• Penalized PCA approaches for B-spline expansions of smooth functional data
• Functional data analysis.
• Nonparametric functional data analysis. Theory and practice.
• Functional Data Analysis with R and MATLAB
• An Introduction to Statistical Learning
• Functional logistic regression: a comparison of three methods
• Random forests
• Supervised classification of curves via a combined use of functional data analysis and tree-based methods
• The Elements of Statistical Learning
• Pooling random forest and functional data analysis for biomedical signals supervised classification: theory and application to electrocardiogram data

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