BEGIN:VCALENDAR
VERSION:2.0
CALSCALE:GREGORIAN
PRODID:iCalendar-Ruby
BEGIN:VEVENT
CATEGORIES:Lecture/Seminar
DESCRIPTION:Dept. of Mathematical and Statistical Sciences Fall 2022 Semina
r Series Presents\n\n \n\nDr. Steffen Borgwardt\nDept. of Mathematical and
Statistical Sciences\, University of Colorado Denver\n\n \n\nWHEN: Monday S
eptember 26th 2022\, from 12:30 to 1:30pm\n\n \n\nTITLE: Transitions betwee
n Clusterings\n\n \n\nABSTRACT: \n\nClustering is one of the fundamental ta
sks in data analytics and machine learning. In many situations\, different
partitions of the same data set become relevant. For example\, different al
gorithms for the same clustering task may return dramatically different sol
utions. We are interested in applications in which one clustering has to be
transformed into another\; such a scenario arises\, for example\, when a g
radual transition from an old solution to a new one is required.\n \nBased
on linear programming and network theory\, we develop methods for the const
ruction of a sequence of so-called elementary moves that accomplishes such
a transition. Specifically\, we discuss two types of transitions: short tra
nsitions with a low number of steps and transitions that retain separation
of clusters throughout.
DTEND:20220926T193000Z
DTSTAMP:20221204T051027Z
DTSTART:20220926T183000Z
GEO:39.746661;-105.002324
LOCATION:Student Commons Building\, 4017
SEQUENCE:0
SUMMARY:Transitions between Clusterings \, a seminar in the Department of M
athematical and Statistical Sciences
UID:tag:localist.com\,2008:EventInstance_41061695441652
URL:https://calendar.ucdenver.edu/event/transitions_between_clusterings_a_s
eminar_in_the_department_of_mathematical_and_statistical_sciences
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