Characterizing Normotypical Developmental Patterns in Early Childhood: An Exploratory Unsupervised Learning Study
Author(s)
Fernández-Merchán, Alberto
Alcalde-Llergo, José M.
Raya, Araceli Sánchez
Dueñas, Carolina Perez
Date Issued
2025
Type
conferenceObject
Start Page
836
End Page
841
Abstract
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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Full paper
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1.78 MB
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Checksum (MD5)
f02666a068cc6f7c73c34dca49f7e26e
Conference(s)
2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)