Cluster Analysis in Data Mining
$79
ENROLL NOWCourse Overview
What You'll Learn
- Discover the basic concepts of cluster analysis, and then study a set of typical clustering methodologies, algorithms, and applications.
- Moreover, learn methods for clustering validation and evaluation of clustering quality.
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.
Course FAQs
Is this an accredited online course?
Accreditation for 'Cluster Analysis in Data Mining' is determined by the provider, University of Illinois Urbana-Champaign. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Cluster Analysis in Data Mining' on the University of Illinois Urbana-Champaign online class platform, where you can complete your registration.
