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

Data Analysis
Johns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Scientific Computing
University of Washington via Coursera Introduction to Data Science
University of Washington via Coursera Web Intelligence and Big Data
Indian Institute of Technology Delhi via Coursera