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Cluster Analysis in Data Mining
This course is part of Data Mining.
Course Cost
Free course
Intermediate
Skill Level
15 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Mining Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
42,339 Enrolled
English
What you'll learn
Understand and apply various clustering methodologies
Implement partitioning and hierarchical clustering algorithms
Use density-based and grid-based clustering methods
Evaluate clustering quality using validation measures
Apply clustering techniques to real-world applications
Skills you'll gain
This course includes:
4 Hours PreRecorded video
7 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
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There are 6 modules in this course
This comprehensive course explores cluster analysis in data mining, covering fundamental concepts and methodologies. Students learn various clustering techniques including partitioning methods like k-means, hierarchical methods such as BIRCH, and density-based approaches like DBSCAN/OPTICS. The curriculum includes methods for clustering validation and evaluation, with practical applications and case studies. Through hands-on programming assignments, participants gain practical experience in implementing clustering algorithms and validation measures.
Course Orientation
Module 1 · 1 Hours to complete
Module 1
Module 2 · 2 Hours to complete
Week 2
Module 3 · 5 Hours to complete
Week 3
Module 4 · 2 Hours to complete
Week 4
Module 5 · 4 Hours to complete
Course Conclusion
Module 6 · 25 Minutes to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Data Mining
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Faculties
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Frequently asked Questions
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