YoVDO

Cluster Analysis in Data Mining

Offered By: University of Illinois at Urbana-Champaign via Coursera

Tags

Data Mining Courses Data Science Courses Data Analysis Courses Machine Learning Courses Cluster Analysis Courses K-means Courses

Course Description

Overview

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

Tags

Related Courses

Machine Learning With Big Data
University of California, San Diego via Coursera Survey analysis to Gain Marketing Insights
Emory University via Coursera Advanced Business Analytics Capstone
University of Colorado Boulder via Coursera Business Analytics for Decision Making
University of Colorado Boulder via Coursera Business Analytics and Digital Media
Indian School of Business via Coursera