"Mastering JMP Principal Component Analysis/Cluster Analysis You can watch the video of the edition.
*This seminar uses JMP 17.0.0, the latest version at the time of video creation (January 2023).
Chapter 1: Using Principal Component Analysis and JMP
It provides an overview of Principal Component Analysis and provides a demonstration of how it works in JMP, how to interpret the displayed report, and how to perform various analysis options.
Finally, we will introduce outlier analysis in principal component analysis, which is a feature of JMP.
Section 1 : Introduction to Principal Component Analysis and Basic Operations in JMP (10:23)
Section2 : Interpreting Reports and Running Analysis Options (15:32)
Section3 : Outlier Analysis of Multivariate Data Using Principal Component Analysis (5:59)
Chapter 2: Using Cluster Analysis and JMP
Get an overview of cluster analysis, learn how to work with Hierarchical Cluster Analysis, Kmeans Cluster Analysis in JMP, determine the number of clusters, and find useful analysis options.
Finally, I will introduce how JMP's features can be used to reflect the results of cluster analysis in principal component analysis reports.
Section 1 : Overview and Hierarchical Cluster Analysis (16:21)
Section2 : K-means cluster analysis (5 minutes 37 seconds)
Section3 : Linking Principal Component Analysis and Cluster Analysis (3:32)
