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Results tagged with pca
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user 405707
Principal component analysis (PCA) is a linear dimensionality reduction technique. It reduces a multivariate dataset to a smaller set of constructed variables preserving as much information (as much variance) as possible. These variables, called principal components, are linear combinations of the input variables.
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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. …
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