Abstract
Clustering is an unsupervised machine learning technique for grouping homogeneous data points into partitions called clusters. In the example dataset illustrated in Figure 25-1, suppose we have a set of n points and 2 features. A clustering algorithm can be applied to determine the number of distinct subclasses or groups among the data samples.
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© 2019 Ekaba Bisong
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Bisong, E. (2019). Clustering. In: Building Machine Learning and Deep Learning Models on Google Cloud Platform. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-4470-8_25
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DOI: https://doi.org/10.1007/978-1-4842-4470-8_25
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Publisher Name: Apress, Berkeley, CA
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