Visual analytics of genealogy with attribute-enhanced topological clustering

This paper proposes an attribute-enhanced topological clustering method for exploring genealogy datasets based on partial least squares (PLS), and implements a visual analysis system with multi-view collaboration, including glyph, family tree view and parallel coordinate view, to represent, evaluate and explore the clustering features.