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.
Cluster Analysis in Data Mining
Cluster Analysis in Data Mining
This course is part of Data Mining Specialization
Taught in English
Some content may not be translated
Instructor: Jiawei Han
41,420 already enrolled
Included with 
Course
Gain insight into a topic and learn the fundamentals
4.5
(403 reviews)
|
89%
16 hours (approximately)
Flexible schedule
Learn at your own pace
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
7 quizzes
Course
Gain insight into a topic and learn the fundamentals
4.5
(403 reviews)
|
89%
16 hours (approximately)
Flexible schedule
Learn at your own pace
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Data Mining Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 6 modules in this course
You will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course.
What's included
1 video3 readings1 quiz1 discussion prompt1 plugin
What's included
13 videos2 readings2 quizzes
What's included
15 videos3 readings1 quiz1 programming assignment
What's included
9 videos2 readings2 quizzes
What's included
10 videos1 reading1 quiz1 programming assignment
In the course conclusion, feel free to share any thoughts you have on this course experience.
Instructor
Instructor ratings
4.1 (24 ratings)
Recommended if you're interested in Data Analysis
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Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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