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b) Consider the DBSCAN algorithm, where r is the radius and t the threshold. Assume that the threshold value is set to t=1. (i) Describe

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b) Consider the DBSCAN algorithm, where r is the radius and t the threshold. Assume that the threshold value is set to t=1. (i) Describe the solutions provided by DBSCAN for r=0.5,r=1.5 and r=2.5. (ii) You are asked to compare the solutions provided by k-means and DBSCAN using the intra-cluster sample scatter as a quality metric. Would you agree with this approach

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Database Theory Icdt 99 7th International Conference Jerusalem Israel January 10 12 1999 Proceedings Lncs 1540

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