Rootlets Hierarchical Principal Component Analysis for Revealing Nested Dependencies in Hierarchical Data
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Hierarchical clustering analysis (HCA) is a widely used unsupervised learning method. Limitations of HCA, however, include imposing an artificial hierarchy onto non-hierarchical data and fixed two-way mergers at every level. To address this, the current work d... ...
