Evaluating clustering performance is an essential step to assess the strength of a clustering algorithm for a given dataset. Assessing performance in an unsupervised environment is not an easy task, but in the literature, many methods are available. We can categorize these methods into two broad categories: internal and external performance evaluation. Let's learn about both of these categories in detail.
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