Hierarchical Clustering Stephen P. Borgatti University of South Carolina Given a set of N items to be clustered, and an NxN distance (or similarity) matrix, the basic process of Johnson's (1967) hierarchical clustering is this: Start by assigning each item to its own cluster, so that if ...
Bayesian hierarchical modelingIndividual differencesCognitive developmentFree recallCategory clusteringThe measurement of individual differences in cognitive processes and the advancement of multinomial processing tree (MPT) models were two of William H. Batchelder's major research interests. Inspired by his ...
Over the last several years, the study of working memory (WM) for simple visual features (e.g., colors, orientations) has been dominated by perspectives that assume items in WM are stored independently of one another. Evidence has revealed, however, syst
Next, we discuss in more detail the interpretation of each algorithm. Logistic regression provides the means to both classify regions and estimate the influence of each feature on the odds of the risk class46 of any given NUTS2 region. The optimization objective defined below allows us to find...
Copy-number-variable (CNV) loci are an important cause of genetic variation in human genomes, and give rise to differences of 4.8–9.5% in the overall length of human genomes10,11. However population genetic divergence at the genome-wide CNV loci has not been investigated in detail12,13, ...
However, multifactorial statistics such as non-metric multidimensional scaling, hierarchical clustering and random forest algorithm as well as single-factor comparisons could not highlight common habitat features of chosen ponds. The results of this study indicate that breeding site choice is more than ...
Copy-number-variable (CNV) loci are an important cause of genetic variation in human genomes, and give rise to differences of 4.8–9.5% in the overall length of human genomes10,11. However population genetic divergence at the genome-wide CNV loci has not been investigated in detail12,13, ...
(Fig.3eand Extended Data Table3), because POIs frequented by individuals from lower-income CBGs tended to be smaller and more crowded in the mobility data. As a case study, we examined grocery stores in further detail. In eight of the ten metro areas, visitors from lower-income CBGs ...
Only after differential co-expression analysis, which can correct for a lack of a response in some subjects, did GT-induced changes in miRNA expression become evident [48,49,50,51]. Non-supervised hierarchical clustering of oral epithelial sample miRNA revealed a group of 5 out of 14 subjects...