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Found 2 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.
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