In this work we propose a flexible and interpretable data driven combination of dimensionality reduction and clustering for ordinal data matrices based on percentiles, which are suitable location measures for ordinal data. We discuss the proposal using a subset of data coming from the World Values Survey Wave 7.
Percentile-based dimensionality reduction and clustering for ordinal data matrices / D'Ambrosio, Antonio. - (2025). ( 65th ISI World Statistics Congress Den Haag (Olanda) 5-9 Ottobre 2025).
Percentile-based dimensionality reduction and clustering for ordinal data matrices
Antonio D'Ambrosio
2025
Abstract
In this work we propose a flexible and interpretable data driven combination of dimensionality reduction and clustering for ordinal data matrices based on percentiles, which are suitable location measures for ordinal data. We discuss the proposal using a subset of data coming from the World Values Survey Wave 7.File in questo prodotto:
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