Enhancement of OPTICS’ time complexity by using fuzzy clusters

Author:

Kamil Israa S.ORCID,Al-Mamory Safaa O.

Publisher

Elsevier BV

Subject

General Medicine

Reference25 articles.

1. T. Ali, S. Asghar, N.A. Sajid. Critical analysis of DBSCAN variations, Int.Conf. . Inf. Emerg. Technol. ICIET. 2010.

2. GO-DBSCAN: improvements of DBSCAN. Algorithm based on grid;Feng;Int. J. Comput. Theory Eng.,2017

3. OPTICS: ordering points to identify. The clustering structure;Ankerst;SIGMOD ’99 Proc. ACM SIGMOD Int. Conf. Manag. Data,1999

4. A density-based algorithm for discovering. Clusters in large spatial databases with noise;Ester;Second Int. Conf. Knowl. Discov. Data Min,1996

5. Improving the cluster structure extracted from OPTICS plots;Schubert;CEUR Workshop Proc.,2018

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