Applied Clustering Techniques
The course looks at the theoretical and practical implications of a wide array of clustering techniques that are currently available in SAS. The techniques considered include cluster preprocessing, variable clustering, k-means clustering, and hierarchical clustering.Learn how to
Who should attendIntermediate- or senior-level statisticians, data analysts, and data miners
Before attending this course, you should:
This course addresses SAS/STAT software.
Introduction to Clustering
|Title||Duration||Access Period||Language||Fee||Add to Cart|
|Applied Clustering Techniques (15.1) (PDF + virtual lab)||14.0 hours||180 days from order date||English||1,200 USD|