I don't think you understand what dimensionality reduction means.
SSN is a lookup key into the raw data. Dimensionality reduction is by definition lossy since it's used in scenarios where: rows of data = n <<< m = number of features
SSN is a lookup key into the raw data. Dimensionality reduction is by definition lossy since it's used in scenarios where: rows of data = n <<< m = number of features
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