Abstract
The main aim of this analysis is to find out typical morphologies from the multivariate and longitudinal data set on growing children and to describe the morphological evolution of the found groups of girls. The finding out of typical morphologies is, in our opinion, strictly linked to the search of structures in the individuals and in the variables.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
E.M. Beale (1969). Euclidean cluster analysis. Bull.of the Int.Stat. Inst.
A. Mineo (1970). La scelta delle variabili nell’analisi della regressione multipla e delle funzioni discriminanti. Statistica, n. 2
A. Mineo (1971). Sulla scelta del grado di una funzione di regressione polinomiale nell’analisi delle serie storiche. Statistica, n. 3, 529–554.
A. Mineo (1985). A new criterion for the choice of seed points for a nearest centroid cluster analysis. Rivista di Statistica Applicata, vol. 18, n. 4, 191–198.
R. Pearl and L.J. Reed (1923). On the mathematical theory of population. Metron, Vol. VIII, n. 1.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1987 Springer Science+Business Media New York
About this chapter
Cite this chapter
Mineo, A. (1987). Solution Using Clustering Methods. In: Janssen, J., Marcotorchino, F., Proth, J.M. (eds) Data Analysis. Competitive Methods in Operations Research and Data Analysis. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-6790-5_6
Download citation
DOI: https://doi.org/10.1007/978-1-4615-6790-5_6
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4615-6792-9
Online ISBN: 978-1-4615-6790-5
eBook Packages: Springer Book Archive