Cluster Analysis in Data Mining
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Course overview
- Provider
- Coursera
- Course type
- Free online course
- Level
- Mixed
- Deadline
- Flexible
- Duration
- 17 hours
- Certificate
- Paid Certificate Available
- Course author
- Jiawei Han
Description
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.
