The two-day course looks at the theoretical and practical implications of a wide array of clustering techniques currently available in the SAS System. The techniques considered include variable clustering, cluster preprocessing, hierarchical clustering, k-means clustering, nonparametric clustering, and fuzzy clustering. After completing the course, you should be able to identify relevant factors that lead to the generation of reliable segments.
"The two-day course looks at the theoretical and practical implications of a wide array of clustering techniques currently available in the SAS System. The techniques considered include variable clustering, cluster preprocessing, hierarchical clustering, k-means clustering, nonparametric clustering, and fuzzy clustering. After completing the course, you should be able to identify relevant factors that lead to the generation of reliable segments."@en
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This is a placeholder reference for a Topic entity, related to a WorldCat Entity. Over time, these references will be replaced with persistent URIs to VIAF, FAST, WorldCat, and other Linked Data resources.