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Cluster analysis is the task of partitioning data into subsets of objects according to their mutual "similarity," without using preexisting knowledge such as class labels. [Clustered-standard-errors and/or cluster-samples should be tagged as such; do NOT use the "clustering" tag for them.]

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K-means clustering - weird PCA visualization

I performed PCA on 4 variables and are shown in this visualization: At first look it doesn't look convincing and the some clusters seem weird. The data was cleaned and standardized beforehand. Only c …
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