What is the difference between Multi-Dimensional Scaling and Principal Component Analysis?
Principal Component AnalysisThe input to PCA is the original vectors in n-dimensional space.And the data are projected onto the directions in the data
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What do you mean by Principal Component Analysis?
Principal component analysis is a technique for feature extraction so, it combines our input variables in a specific way, then we can
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