Abstract
Clusters are subgroups in a survey estimated by the distances between the values needed to connect the patients, otherwise called cases. It is an important methodology in explorative data mining. Density-based clustering is used.
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Cleophas, T.J., Zwinderman, A.H. (2014). Density-Based Clustering to Identify Outlier Groups in Otherwise Homogeneous Data (50 Patients). In: Machine Learning in Medicine - Cookbook. SpringerBriefs in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-319-04181-0_2
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DOI: https://doi.org/10.1007/978-3-319-04181-0_2
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-04181-0
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