Abstract
Quality Threshold is a clustering algorithm without specifying the number of clusters. It uses the maximum cluster diameter as the parameter to control the quality of clusters.
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Jin, X., Han, J. (2017). Quality Threshold Clustering. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_692
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DOI: https://doi.org/10.1007/978-1-4899-7687-1_692
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Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4899-7685-7
Online ISBN: 978-1-4899-7687-1
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