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  • Provider Coursera
  • Subject Data Mining
  • $ Cost Free Online Course (Audit)
  • Session In progress
  • Language English
  • Certificate Paid Certificate Available
  • Effort 4-6 hours a week
  • Start Date
  • Duration 4 weeks long

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Overview

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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.

Syllabus

Course Orientation
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.

Module 1


Week 2


Week 3


Week 4


Course Conclusion
In the course conclusion, feel free to share any thoughts you have on this course experience.

Taught by

Jiawei Han

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Reviews for Coursera's Cluster Analysis in Data Mining
2.3 Based on 6 reviews

  • 5 star 0%
  • 4 star 17%
  • 3 star 17%
  • 2 stars 50%
  • 1 star 17%

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  • 1
Gregory S
2.0 3 years ago
by Gregory completed this course and found the course difficulty to be medium.
Cluster Analysis in Data Mining is third course in Coursera's new data mining specialization offered by the University of Illinois Urbana-Champaign. The course is a 4-week overview of data clustering: unsupervised learning methods that attempt to group data into clusters of related or similar observations. The course covers two most common clustering methods--K means and hierarchical clustering--as well as more than a dozen other clustering algorithms. Grading is based on 4 weekly quizzes with 3 attempts each.

Cluster Analysis is taught by Professor Jiawei Han who was the instruct…
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Bijaya Z
4.0 3 years ago
Bijaya completed this course, spending 3 hours a week on it and found the course difficulty to be medium.
I thought the class was good for someone who already knows how to apply clustering analysis to data. I have been using different clustering algorithms in the past, this class gave me a greater overview of the other clustering methods that existed that I hadn't been exposed to. I do not recommend this for someone who is new to the concept/application of clustering.
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Mark B
3.0 3 years ago
by Mark completed this course.
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Stephane M
1.0 2 years ago
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Colin K
2.0 3 years ago
by Colin completed this course.
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César A
2.0 3 years ago
César completed this course.
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  • 1

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