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3:00 pm

Applied Math. Talk: Balancing Geometry and Density: Path Distances on High-Dimensional Data by Anna Little, University of Utah

April 26 @ 3:00 pm - 4:00 pm
Zoom meeting United States

 Abstract: This talk discusses multiple methods for clustering high-dimensional data, and explores the delicate balance between utilizing data density and data geometry. I will first present path-based spectral clustering, a novel approach which combines a density-based metric with graph-based clustering. This density-based path metric allows for fast algorithms and strong theoretical guarantees when clusters concentrate […]

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