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DTSTART:20190310T070000
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DTSTART:20191103T060000
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DTSTART;TZID=America/Toronto:20200124T100000
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URL:https://uwaterloo.ca/statistics-and-actuarial-science/events/department
 -seminar-michael-gallaugher-mcmaster-university
LOCATION:M3 - Mathematics 3 200 University Avenue West Room 3127 Waterloo O
 N N2L 3G1 Canada
SUMMARY:Department seminar by Michael Gallaugher\, McMaster University
CLASS:PUBLIC
DESCRIPTION:CLUSTERING AND CLASSIFICATION OF THREE-WAY DATA\n\nClustering a
 nd classification is the process of finding and analyzing\nunderlying grou
 p structure in heterogenous data and is fundamental to\ncomputational stat
 istics and machine learning. In the past\, relatively\nsimple techniques c
 ould be used for clustering\; however\, with data\nbecoming increasingly c
 omplex\, these methods are oftentimes not\nadvisable\, and in some cases n
 ot possible. One such such example is\nthe analysis of three-way data wher
 e each data point is represented as\na matrix instead of a traditional vec
 tor. Examples of three-way\ninclude greyscale images and multivariate long
 itudinal data. In this\ntalk\, recent methods for clustering three-way dat
 a will be presented\nincluding high-dimensional and skewed three-way data.
  Both simulated\nand real data will be used for illustration and future di
 rections and\nextensions will be discussed.
DTSTAMP:20260410T093111Z
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