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linkedin.com
How to Apply PCA before K-means Clustering in R Programming (Example) | Principal Component Analysis
Combining Principal Component Analysis (PCA) with k-means Clustering can significantly enhance your data analysis by reducing dimensionality and improving clustering performance. Here’s how you can effectively integrate these techniques:Step 1) Apply PCA: Reduces dimensionality Simplifies visualization Highlights key patternsStep 2) Perform k ...
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