Author:
Viegas Jeniffer,Gallardo António,Bottaro Lucas,Marinaro Rodrigo
Reference11 articles.
1. MacQueen, I. (1967). Some methods for classification and analysis of multivariate observations. In Proceedings 5th Berkeley Symposium on Mathematical Statistics Problems (pp. 281-297).
2. Carvalho, L. O., & Ribeiro, D. B. (2020). Application of kernel k-means and kernel x-means clustering to obtain soil classes from cone penetration test data. Soils and Rocks, 43(4), 607-618.
3. Młynarek, Z., Wierzbicki, J. & Wołyński, W. (2018). Use of functional cluster analysis of CPTU data for assessment of a subsoil rigidity. Studia Geotechnica et Mechanica,40(2) 117-124. https://doi.org/10.2478/sgem-2018-0017
4. Collico, S., Arroyo, M., DeVincenzi, M., Rodriguez, A., & Deu, A. (2022). Clustering analysis to improve total unit weight prediction from CPTu. In Cone Penetration Testing 2022 (pp. 339-344). CRC Press.
5. Coelho, P, Nogueira, G., Katahira, D., Franco, J. (2022). Interpretação de Ensaios CPTu Realizados em Pilha de Fosfogesso por Meio de Técnicas de Estatística Multivariada. COBRAMSEG 2022. ISBN: 978-65-89463-30-6.