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Applied clustering techniques course notes

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.

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http://schema.org/alternateName

  • "Instructor-based training"@en
  • "Applied clustering techniques, instructor-based training"@en

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  • "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

http://schema.org/name

  • "Applied clustering techniques : course notes"
  • "Applied clustering techniques course notes"@en