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UID:20250707T070606EDT-04778RUihk@132.216.98.100
DTSTAMP:20250707T110606Z
DESCRIPTION:Title: Data Science\, Classification\, Clustering and Three-Way
  Data\n\n\n	Abstract:\n\n\nData science is discussed along with some histor
 ical perspective. Selected problems in classification are considered\, eit
 her via specific datasets or general problem types. In each case\, the pro
 blem is introduced before one or more potential solutions are discussed an
 d applied. The problems discussed include data with outliers\, longitudina
 l data\, and three-way data. The proposed approaches are generally mixture
  model-based.\n\n\n	Speaker\n\n\nPaul McNicholas is a Professor and Univers
 ity Scholar in the Department of Mathematics and Statistics at McMaster Un
 iversity. His research focuses on computational statistics\, data science 
 and machine learning\, especially mixture model-based clustering and class
 ification.\n\nZoom Link\n\nMeeting ID: 939 8331 3215\n\nPasscode: 096952\n
DTSTART:20201002T193000Z
DTEND:20201002T203000Z
SUMMARY:Paul McNicholas (McMaster University)
URL:/mathstat/channels/event/paul-mcnicholas-mcmaster-
 university-325101
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