JMP 13.2 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Predictive and Specialized Modeling
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 12 Online Documentation
Multivariate Methods
•
K Means Cluster
• Iterative Clustering Report
Previous
•
Next
Iterative Clustering Report
When you click OK in the launch window, the Iterative Clustering report window appears, showing:
•
A Transformations report. (Shown only if Johnson Transformation option is selected.) The Transformations report contains a row for each variable entered in Y, Columns. For each variable, the best-fit Johnson distribution is reported from the Sb or Su family, as well as the estimated values for the parameters
. For more information about the Johnson distributions, see
“Distributions” in the
Basic Analysis
book.
•
A Control Panel for fitting models. See
Iterative Clustering Control Panel
.
As you fit models, additional reports are added to the window. See
K Means NCluster=<k> Report
.
Previous
•
Next
Help created on 9/19/2017