Cluster Analysis

 

 


 

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Cluster Analysis in Data Mining (Coursera)
Sep 18th 2017
University of Illinois at Urbana-Champaign
Coursera
English

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.

Average: 7.2 (5 votes)
Data Science, Statistics & Data Analysis
Data Mining, Cluster Analysis, Clustering
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