25 Nov Nuts and bolts of clustering algorithms – ONLINE
1:00 pm - 2:30 pm
statistics seminar | level: beginner |
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affiliation: Ghent University
Clustering methods refer to the process of partitioning observations into sub-groups whose units are similar with respect to some similarity or distance measure. Many different research questions require applications of common clustering algorithms (or their modified versions) such as K-means and Hierarchical clustering methods. In this seminar, we are going to review these basic clustering algorithms and present their strengths and limitations. A demonstration of how to generate clusters will be done using the R Software.