数据挖掘中的聚类分析

Cluster Analysis in Data Mining

Discover the basic concepts of cluster analysis, and then study a set of typical clustering methodologies, algorithms, and applications.

伊利诺伊大学香槟分校

Coursera

计算机

普通(中级)

16 小时

  • 英语
  • 1148

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.

你将学到什么

Cluster Analysis

Data Clustering Algorithms

K-Means Clustering

Hierarchical Clustering

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.

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