Advantages and disadvantages of singular value decomposition
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Step-by-step explanation:
The singular value decomposition (SVD)
Pros: Simplifies data, removes noise, may improve algorithm results. Cons: Transformed data may be difficult to understand. Works with: Numeric values. We can use the SVD to represent our original data set with a much smaller data set.
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