Abstract
The goal of unsupervised learning is to discover the hidden patterns or structures of the data in which no target variable exists to perform either classification or regression methods. Unsupervised learning methods are often more challenging, as the outcomes are subjective and there is no simple goal for the analysis, such as predicting the class or continuous variable.
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Awange, J., Paláncz, B., Völgyesi, L. (2020). Clustering. In: Hybrid Imaging and Visualization. Springer, Cham. https://doi.org/10.1007/978-3-030-26153-5_3
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DOI: https://doi.org/10.1007/978-3-030-26153-5_3
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