Characterizing Normotypical Developmental Patterns in Early Childhood: An Exploratory Unsupervised Learning Study

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Author
Fernández-Merchán, Alberto
Alcalde-Llergo, José M.
Zingoni, Andrea
Sánchez-Raya, Araceli
Pérez-Dueñas, Carolina
Yeguas-Bolívar, Enrique
Publisher
IEEEDate
2026Subject
Machine learningClustering
Early childhood care
Neurodevelopmental disorders
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This exploratory study investigates normative developmental patterns in early childhood using unsupervised learning techniques. Using data from 639 normotypically developing Spanish children (aged 1–84 months), we segment the population by age and apply clustering and dimensionality reduction to examine developmental trends. The analysis focuses on the most represented group (60–71 months), revealing modest cluster structure and meaningful inter-domain correlations. These results offer a data-driven reference for future early childhood screening efforts.
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Embargado hasta 23/01/2028
