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Applied clustering techniques course notes

Author: David Yeo; Catherine Truxillo; SAS Institute.
Publisher: Cary, NC : SAS Institute, ©2005.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:
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  Read more...
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Document Type: Book
All Authors / Contributors: David Yeo; Catherine Truxillo; SAS Institute.
ISBN: 1590478177 9781590478172
OCLC Number: 69659232
Notes: "Book code E70024, course code CLUS, prepared date 27Jun05."
Prerequisites: Before attending this course, you should be able to execute SAS programs and create SAS data sets. You can gain experience by completing the SAS Programming I: Essentials course. You should have completed a graduate-level course in statistics or the Statistics I: Introduction to ANOVA, regression, and logistic regression course.
Description: 1 volume (various pagings) : illustrations ; 28 cm
Other Titles: Applied clustering techniques, instructor-based training
Instructor-based training
Responsibility: [developed by David Yeo ; major contributions made by Catherine Truxillo].

Abstract:

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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