September 2013
Intermediate to advanced
128 pages
4h 14m
English
Content preview from JMP 11 Multivariate MethodsBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 4
Cluster Analysis
Identify and Explore Groups of Similar Objects
About Clustering
Clustering is the technique of grouping rows together that share similar values across a number of variables. It is a wonderful exploratory technique to help you understand the clumping structure of your data. JMP provides three different clustering methods:
• Hierarchical clustering is appropriate for small tables, up to several thousand rows. It combines rows in a hierarchical sequence portrayed as a tree. In JMP, the tree, also called a dendrogram, is a dynamic, responding graph. You can choose the number of clusters that you like after the tree is built.
• K-means clustering is appropriate for larger tables, up to hundreds of thousands of rows. It ...
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