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数据挖掘中的聚类分析, 伊利诺伊大学香槟分校

4.4
213 个评分
39 个审阅

课程信息

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....

热门审阅

创建者 ES

Dec 18, 2018

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

创建者 DD

Sep 25, 2017

A very good course, it gives me a general idea of how clustering algorithm work.

筛选依据:

39 个审阅

创建者 Venuu

Apr 11, 2019

The course helped me a lot. I loved this course

创建者 KRUPAL J. KATHROTIA

Apr 09, 2019

VERY GOOD

创建者 vaseem akram

Apr 09, 2019

awesome

创建者 VIDUSHI MOHAN

Mar 17, 2019

Excellent!

创建者 Devender Bejju

Mar 10, 2019

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.

创建者 PABLO PEREZ QUINECHE

Feb 21, 2019

Nice. Good Course

创建者 Eric Antoine Scuccimarra

Dec 18, 2018

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

创建者 Ian Wang

Aug 20, 2018

Nice lecture.

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

创建者 barbara

Aug 01, 2018

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.

创建者 Steve Sekowski

Jul 18, 2018

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.