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DTSTART;TZID=America/Los_Angeles:20210426T150000
DTEND;TZID=America/Los_Angeles:20210426T160000
DTSTAMP:20260417T130920
CREATED:20210128T180721Z
LAST-MODIFIED:20210426T165641Z
UID:2155-1619449200-1619452800@colleges.claremont.edu
SUMMARY:Applied Math. Talk:  Balancing Geometry and Density:  Path Distances on High-Dimensional Data by Anna Little\, University of Utah
DESCRIPTION: Abstract: This talk discusses multiple methods for clustering\nhigh-dimensional data\, and explores the delicate balance between utilizing\ndata density and data geometry. I will first present path-based spectral\nclustering\, a novel approach which combines a density-based metric with\ngraph-based clustering. This density-based path metric allows for fast\nalgorithms and strong theoretical guarantees when clusters concentrate\naround low-dimensional sets. However\, the method suffers from a loss of\ngeometric information\, information which is preserved by simple linear\ndimension reduction methods such as classic multidimensional scaling\n(CMDS). The second part of the talk will explore when CMDS followed by a\nsimple clustering algorithm can exactly recover all cluster labels with\nhigh probability. However\, scaling conditions become increasingly\nrestrictive as the ambient dimension increases\, and the method will fail\nfor irregularly shaped clusters. Finally\, I will discuss how a more\ngeneral family of path metrics\, when combined with CMDS\, give\nlow-dimensional embeddings which respect both data density and data\ngeometry. This new method exhibits promising performance on single cell\nRNA sequence data and can be computed efficiently by restriction to a\nsparse graph.
URL:https://colleges.claremont.edu/ccms/event/applied-math-talk-by-anna-little-university-of-utah/
LOCATION:Zoom meeting\, United States
CATEGORIES:Applied Math Seminar
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DTSTART;TZID=America/Los_Angeles:20210428T161500
DTEND;TZID=America/Los_Angeles:20210428T173000
DTSTAMP:20260417T130920
CREATED:20210204T004751Z
LAST-MODIFIED:20210406T011522Z
UID:2180-1619626500-1619631000@colleges.claremont.edu
SUMMARY:Jennifer Franko Vasquez
DESCRIPTION:Title: Puzzling Permutations \nAbstract: Permutations are one of the most fundamental notions in mathematics. In this talk\, we will discuss a visual representation of permutations and introduce some games one can play to help “see” different properties.  These puzzling games can be used to provide insight into deeper mathematical content as well.  Time permitting\, we will explore connections to topology and biology.  This talk is based on joint work with Steven Dougherty and Michael Allocca.   \nDr. Vasquez is a Professor of Mathematics at the University of Scranton.
URL:https://colleges.claremont.edu/ccms/event/jennifer-franko-vasquez/
LOCATION:Zoom
CATEGORIES:Colloquium
ORGANIZER;CN="Helen Wong":MAILTO:hwong@cmc.edu
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