About the content
Discover the basic concepts of cluster analysis, and then study a set of typical clustering methodologies, algorithms, and applications. This includes partitioning methods such as k-means, hierarchical methods such as BIRCH, and density-based methods such as DBSCAN/OPTICS. Moreover, learn methods for clustering validation and evaluation of clustering quality. Finally, see examples of cluster analysis in applications.
- Week 1 - Course Orientation
You will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course.
- Week 1 - Module 1
- Week 2 - Week 2
- Week 3 - Week 3
- Week 4 - Week 4
- Week 4 - Course Conclusion
In the course conclusion, feel free to share any thoughts you have on this course experience.
Abel Bliss Professor
Department of Computer Science
The University of Illinois at Urbana-Champaign was founded in 1867 (UIUC). The main campus of the University of Illinois is located in the twin cities of Champaign and Urbana, two hundred kilometres south of Chicago.
This major university is ranked among the most prestigious in the world by various measurements, such as the Center for World University Rankings, which place it 22nd worldwide for the period 2020-21.
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