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Found 5 papers, 2 papers with code
Biarchetype analysis: simultaneous learning of observations and features based on extremes
The idea of this new unsupervised machine learning tool is to represent observations and features by instances of pure types (biarchetypes) that can be easily interpreted as they are mixtures of observations and features.
Ordinal classification for interval-valued data and interval-valued functional data
The aim of ordinal classification is to predict the ordered labels of the output from a set of observed inputs.
Finding archetypal patterns for binary questionnaires
Archetypal analysis is an exploratory tool that explains a set of observations as mixtures of pure (extreme) patterns.
Robust multivariate and functional archetypal analysis with application to financial time series analysis
A robust methodology by means of M-estimators for classical multivariate and functional data is proposed.
Functional archetype and archetypoid analysis
Archetype and archetypoid analysis can be extended to functional data.
