How does "Non-Negative Matrix Factorization" (NMF) contribute to dimensionality reduction in data analysis?
(A)
By transforming features into a lower-dimensional space
(B)
By assigning equal importance to all features
(C)
By evaluating the correlation between features
(D)
By measuring the entropy of each feature
Answer
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