What is the MAIN distinction between clustering and classification?
Classification is a supervised learning method where data is sorted into categories that have already been defined (labels), whereas clustering is an unsupervised method that groups similar data points together based on inherent characteristics without relying on predefined categories. This supervised-vs-unsupervised distinction, and the presence or absence of predetermined groupings, is the fundamental difference between the two techniques.
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