你将学到什么
Cluster Analysis
Data Clustering Algorithms
K-Means Clustering
Hierarchical Clustering
课程概况
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.
课程大纲
周1
完成时间为 1 小时
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.
1 个视频 （总计 7 分钟）, 3 个阅读材料, 1 个测验
完成时间为 2 小时
Module 1
13 个视频 （总计 65 分钟）, 2 个阅读材料, 2 个测验
周2
完成时间为 5 小时
Week 2
15 个视频 （总计 78 分钟）, 3 个阅读材料, 2 个测验
周3
完成时间为 1 小时
Week 3
9 个视频 （总计 53 分钟）, 2 个阅读材料, 2 个测验
周4
完成时间为 4 小时
Week 4
10 个视频 （总计 57 分钟）, 1 个阅读材料, 2 个测验
完成时间为 20 分钟
Course Conclusion
In the course conclusion, feel free to share any thoughts you have on this course experience.
