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

Explorez vos données avec des algorithmes non supervisés
CentraleSupélec via OpenClassrooms Clustering Geolocation Data Intelligently in Python
Coursera Project Network via Coursera Cluster Analysis using RCmdr
Coursera Project Network via Coursera Applied Machine Learning: Algorithms
LinkedIn Learning Spark for Machine Learning & AI
LinkedIn Learning