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Both equally of those conditions are interrelated with each other. Discrimination is used to separate the data from the big team of information, and classification is utilized to arranged this data.
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When we need to separate the set of objects from the data, then we use discrimination. Alternatively, classification is focused on classifying the data into predefined groups.
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