Class 3 (Module III)

25 Maio 2022, 15:00 • Pedro Cristiano Santos Martins da Silva

This class was lectured on the 1 June, 2022

Hierarchical minimum variance aggregation criterion (Ward's method). Inversions and ultra-metrics. Cophenetic distances, Sheppard diagrams and Pearson and Spearman cophenetic correlation coefficients. Partitional methods: K-means and K-medoids. Internal quality indices and estimation of the best number of clusters. Comparing partitions using the Rand and adjusted Rand indices. Clusters interpreatition: comparing the cluster mean of each quantitative (active and supplementary) variable with the population mean (v-test).