Definition Unsupervised learning
In the context of machine learning, an unsupervised learning model refers to a model that is not provided with information about the outcome variable. Examples of unsupervised learning models include clustering models. Such models endeavor to locate clusters of observations, accept their different characteristics as inputs, and depart from the logic that an independent variable is predicted by several dependent variables.
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- Unsupervised learning