Nuts and bolts of clustering algorithms – ONLINE

Course details

statistics seminar | level: beginner | register now
for questions related to this event, contact ugent@flames-statistics.com
affiliation: Ghent University

Abstract

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.

Prerequisites

Background readings

Fee

Free

Venue

Online course.

Instructor

Emmanuel Abatih