Abstract
Thus far, we have discussed several methods related to supervised learning. In these methods, we approximated a function from a training data set containing labeled data. In this chapter, we will begin addressing unsupervised learning, a paradigm of machine learning where we deduce a function and the structure of data from an unlabeled data set.
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© 2018 Arnaldo Pérez Castaño
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Pérez Castaño, A. (2018). Clustering & Multi-objective Clustering. In: Practical Artificial Intelligence. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3357-3_13
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DOI: https://doi.org/10.1007/978-1-4842-3357-3_13
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-3356-6
Online ISBN: 978-1-4842-3357-3
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