Cluster Analysis in Data Mining by University of Illinois at Urbana-Champaign
The University of Illinois at Urbana-Champaign is a global leader in research, teaching, and public engagement, with a diverse range of programs, a strong academic reputation, and internationally renowned faculty and alumni. Illinois contributes to the world by advancing knowledge, preparing students for meaningful lives, and addressing crucial societal issues.
Once you enroll in this course, you are able to learn the fundamentals of cluster analysis before diving into a variety of clustering approaches, algorithms, and applications. This includes partitioning algorithms like k-means, hierarchical algorithms like BIRCH, and density-based algorithms like DBSCAN/OPTICS. Learn methods for clustering validation and clustering quality evaluation as well. Finally, look at several applications that use cluster analysis.
This course offers:
- Flexible deadlines: Reset deadlines in accordance to your schedule.
- Certificate : Earn a Certificate upon completion
- 100% online
- Beginner Level
- Approx. 17 hours to complete
- Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, Korean, German, Russian, English, Spanish
- Course 5 of 6 in the Data Mining Specialization
Coursera Rating: 4.5/5
Enroll here: https://www.coursera.org/learn/cluster-analysis
