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Classification
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Clustering
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What is it?
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Given a set of historical/old data along with their class name and a set of new data, classification is the process of assigning each new data with class name that is obtained from the old/historical data.
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Given a set of samples/data, clustering is the process of grouping the data based on their similarities and the patterns of the data.
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Type of input data
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Set of data with label/class name
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Only the data set. No labeling is required.
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Input
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A set of samples
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