embeds hierarchical clustering analysis (HCA) within a differential evolution (DE) search scheme to identify groups of … distribution network derived from the IEEE 13 nodes test feeder. The results show that the newly proposed hierarchical clustering …

of data into homogeneous groups, i.e. clusters. In this paper we study the asymptotic behavior of hierarchical clustering …

. We compare the visualization of Neighbor-Net with that provided by hierarchical clustering trees and minimum spanning …

<Para ID="Par1">The Ward error sum of squares hierarchical clustering method has been very widely used since its first … studies will be useful for all those involved in developing software for data analysis using Ward’s hierarchical clustering …

multivariate analysis based on empirical orthogonal functions and hierarchical clustering (EOFs) is applied to assist in water …

identification process, including principal component analysis, k-means clustering, hierarchical clustering, medoid partitioning and …