Cluster Analysis in Data Mining

Good course for understanding the Cluster Analysis & Algorithms, instructor is very experienced and well explained, thanks

Its Good but explanations can done much better, rest all good in terms of study material, quiz ,and programming assignment.

The course helped me a lot. I loved this course

VERY GOOD

awesome

Excellent!

Useful theory. It will be challenging for non-math students. and also lecturer's native language influence iis going to be challening as well to follow along.

Nice. Good Course

This was my favorite course in the whole specialization. Everything is explained very concisely and clearly making the subject matter very easy to understand.

Nice lecture.The programming assignment is difficult, more instructions could be provided.

This course is a great resource to learn about the different clustering algorithms out there. I need to solve a clustering problem in my research and my knowledge about clustering ended at kmeans. The course teaches systematic ways to find out whether you should be clustering your data in the first place, what clustering algorithm should be best for your data, and how to evaluate the goodness of the algorithm and the used parameters. Many unknown unknowns have been illuminated to me by the course.

I feel like the programming assignments could've been more involved/tied to the clustering algorithms themselves, rather than just submitting a text file with results (e.g., maybe solve a practical problem with an algorithm of choice). Quizzes sometimes contained ambiguous and/or poorly-written questions/answers. Some of the later lectures simply featured equations on a powerpoint and did not involve any examples on how to use them.