Question: They first clean the raw data and construct the features, and then reduce the dimension with PCA, evaluate the sample's clustering trend with Hopkins statistics

They first clean the raw data and construct the features, and then reduce the dimension with PCA, evaluate the sample's clustering trend with Hopkins statistics [1] and select the appropriate clustering parameters through grid search. Finally, they train the model which based K-Means and analyze the results [1].

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