Scree Plot & Cumulative Variance: How Many Components? (with a Chart)
This lesson is part of the course
In this lesson
You turn six eigenvalues into explained and cumulative variance shares, apply the 80% rule and the Kaiser rule, and draw a scree plot to look for the elbow.
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Lessons in this course
- Standardising Variables: z-Scores before PCA Locked
- Covariance & Correlation Matrices with MMULT and TRANSPOSE Locked
- Power Iteration: the First Eigenvector with Repeated MMULT Locked
- Eigenvalue & Explained Variance: How Much Does PC1 Capture? Locked
- The Second Component: Deflation and Another Power Iteration Locked
- Scree Plot & Cumulative Variance: How Many Components? (with a Chart) Locked
- Component Scores & Loadings: Placing and Naming the Cities (with a Chart) Locked
- Reconstruction Error: What You Lose with k Components Locked