Answer for PCA

https://365datascience.com/dwqa-answer/answer-for-pca/ -

Hi Joseph,

one of the main uses of PCA is to reduce the dimensions of the data set. That’s especially worthwhile when there are a lot of features in the data, and fewer data points. This leads to a phenomenon, known as the ‘curse of dimensionality’, which can be avoided by employing techniques such as PCA. That’s why we perform PCA before clustering.

 

Best, 

Eli

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