MA-INF 1319 - Cluster Analysis

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Important note: Since this lecture will most likely take place in a seminar room, I'd be interested in an estimation of the number of attendees. So if you are vaguely planning on taking this lecture, I would appreciate if you send me a short email to this email address.

General Information

This lecture is currently being planned. It will take place in WS 2018/19, with 2h of lecture and 2h of tutorial. The content is cluster analysis, in particular covering the following areas:

  • Approximation algorithms for clustering, in particular LP based and local search based
  • Clustering of Big Data and in Data Streams
  • Analysis of common clustering heuristics
  • Practically efficient methods with theoretical guarantees

Lecture

When Where Start Lecturer
Tuesday, 10:15-11:45 INF / Room 2.078 October 9th Schmidt

Tutorials

When Where Start Lecturer
Wednesday, 12:15-13:45 INF / Room 2.050 October 17th Rösner
Friday, 14:15-15:45 INF / Room 2.050 October 19th Rösner

Problem Sets


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