Cluster Analysis in Data Mining

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Free Online Course: Cluster Analysis in Data Mining provided by Coursera is a comprehensive online course, which lasts for 4 weeks long, 17 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from Coursera. Cluster Analysis in Data Mining is taught by Jiawei Han.

University of Illinois at Urbana-Champaign via Coursera

4 weeks long, 17 hours worth of material

In progress

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.

Syllabus

- Course Orientation
- Module 1
- Week 2
- Week 3
- Week 4
- Course Conclusion

2.6, based on 7 Course votes at GetYourEducation

4.5, based on 396 Course reviews at Coursera

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Language

English
Certificate
Paid Certificate Available
Date of Start
24th October, 2022
Price
Free Online Course (Audit)
Provider
Coursera
Taught By

Jiawei Han
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