Prove that in DBSCAN*, for a fixed Min Pts value and two neighborhood thresholds, (epsilon_{1}
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Prove that in DBSCAN*, for a fixed Min Pts value and two neighborhood thresholds, \(\epsilon_{1}<\epsilon_{2}\), a cluster \(C\) with respect to \(\epsilon_{1}\) and MinPts must be a subset of a cluster \(C^{\prime}\) with respect to \(\epsilon_{2}\) and MinPts.
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DBSCAN like its original DBSCAN is a densitybased clustering algorithm that groups together data poi...View the full answer
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Related Book For
Data Mining Concepts And Techniques
ISBN: 9780128117613
4th Edition
Authors: Jiawei Han, Jian Pei, Hanghang Tong
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