Data Clustering and Applications

Data Clustering and Applications

Basic Information

MI002 (2+1+1) - 5 ECTS credits

Students will be introduced to fundamental facts and results in the field of data clustering, as well as possible applications.

 

You can access the course content at the following link: PDF

Teachers

 

Basic literature

  1. R. Scitovski, K. Sabo, F. Martínez-Álvarez, Š. Ungar, Cluster Analysis and Applications, Springer, 2021.
  2. R. Scitovski, K. Sabo, Klaster analiza i prepoznavanje geometrijskih objekata, Sveučilište u Osijeku, Odjel za matematiku, 2020.

Additional literature

  1. R.Scitovski, M.Briš Alić, Grupiranje podataka, Sveučilište u Osijeku, Odjel za matematiku, 2016.
  2. J. Kogan, Introduction to Clustering Large and High-Dimensional Data, Cambridge University Press, 2007.
  3. R.Scitovski, K.Sabo, D.Grahovac, Globalna optimizacija, Sveučilište u Osijeku,Odjel za matematiku, 2017.
  4. R.Scitovski, Numerička matematika – izmijenjeno i dopunjeno izdanje, Sveučilište u Osijeku, Odjel za matematiku, 2015.

Teaching materials

The materials are available on the internal Teams channel of the course, through which all internal communication takes place. Students are required to register on the course’s Teams channel. The channel code for joining the course can be found in the schedule.