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SUMMARY:Janusz Przewocki
DTSTART:20260427T103000Z
DTEND:20260427T123000Z
DTSTAMP:20260423T024550Z
UID:BNAT/25
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/BNAT/25/">Un
 supervised Learning (Part 2)</a>\nby Janusz Przewocki as part of Basic Not
 ions and Applied Topology Seminar\n\nLecture held in Room 1 at the IMPAS\,
  Room 1.14 at the Institute of Informatics (University of Gdańsk).\n\nAbs
 tract\nThe second session delves into clustering methods and other techniq
 ues for uncovering latent structure in data without relying on response va
 riables. We cover K-means clustering and Hierarchical clustering\, includi
 ng how they work\, how to choose the number of clusters\, how to decide on
  distance metrics\, and practical pitfalls (e.g. scaling\, sensitivity to 
 initialization). We discuss how to interpret clusters\, validate clusterin
 g solutions\, and when unsupervised grouping might be appropriate.\n
LOCATION:https://researchseminars.org/talk/BNAT/25/
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