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Cluster Analysis in Data Mining

By University of Illinois at Urbana-Champaign via Coursera

  • Overview
  1. MoocLab
    COURSE DESCRIPTION
    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.

    Length: 4 Weeks
    Effort: 4-6 hours per week
    Price: FREE (Add a verified certificate for £36/month)
    Provider: University of Illinois at Urbana-Champaign via Coursera
    Subject: Computer Science
    Level: Intermediate
    Languages: English
    Instructors: Jiawei Han

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