Abstract
This chapter presents a contrast pattern based method called CPCQ for clustering-quality evaluation. Special strengths of the method include (1) it does not use distance metrics, and (2) the underlying algorithm produces, for each cluster, a number of contrast patterns to represent the uniqueness of the cluster.
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Dong, G. (2019). CPCQ: Contrast Pattern Based Clustering-Quality Evaluation. In: Exploiting the Power of Group Differences. Synthesis Lectures on Data Mining and Knowledge Discovery. Springer, Cham. https://doi.org/10.1007/978-3-031-01913-5_7
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DOI: https://doi.org/10.1007/978-3-031-01913-5_7
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-00785-9
Online ISBN: 978-3-031-01913-5
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