Mastering JMP: Principal Component Analysis/Cluster AnalysisYou can watch the "Edition" video here.
*This seminar uses JMP 17.0.0, the latest version at the time of video creation (January 2023).
Chapter 1:Principal Component Analysis and JMP
This course provides an overview of principal components analysis, and includes a demonstration of how to use it in JMP, interpret the reports provided, and perform various analysis options.
Finally, we will introduce outlier analysis in principal component analysis, a feature that characterizes JMP.
Section 1 : Overview of Principal Component Analysis and Basic Operations in JMP (10 minutes 23 seconds)
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Section 2 : Interpreting reports and implementing analysis options (15:32)
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Section 3 : Outlier analysis of multivariate data using principal component analysis (5 minutes 59 seconds)
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Chapter 2:Cluster Analysis and the Use of JMP
This article provides an overview of cluster analysis, explains hierarchical and Kmeans cluster analysis, how to work with them in JMP, determining the number of clusters, and some useful analysis options.
Finally, we will show how the results of cluster analysis can be reflected in the principal component analysis report by taking advantage of JMP's features.
Section 1 : Overview and Hierarchical Cluster Analysis (16 minutes 21 seconds)
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Section 2 : K-means cluster analysis (5 minutes 37 seconds)
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Section 3 : Linking Principal Component Analysis and Cluster Analysis (3 minutes 32 seconds)
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Advanced Statistical ModelingBasic Data Analysis and ModelingData Exploration and Visualization