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Discovery of arbitrary-shapes clusters using DENCLUE algorithm
Joint Authors
al-Nuaymat, Ghazi
Khidr, Maryam
Source
The International Arab Journal of Information Technology
Issue
Vol. 17, Issue 4A (s) (31 Jul. 2020), pp.629-634, 6 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2020-07-31
Country of Publication
Jordan
No. of Pages
6
Main Subjects
Economics & Business Administration
Abstract EN
One of the main requirements in clustering spatial datasets is the discovery of clusters with arbitrary-shapes.
Density-based algorithms satisfy this requirement by forming clusters as dense regions in the space that are separated by sparser regions.
DENCLUE is a density-based algorithm that generates a compact mathematical form of arbitrary-shapes clusters.
Although DENCLUE has proved its efficiency, it cannot handle large datasets since it requires large computation complexity.
Several attempts were proposed to improve the performance of DENCLUE algorithm, including DENCLUE 2.
In this study, an empirical evaluation is conducted to highlight the differences between the first DENCLUE variant which uses the Hill-Climbing search method and DENCLUE 2 variant, which uses the fast Hill-Climbing method.
The study aims to provide a base for further enhancements on both algorithms.
The evaluation results indicate that DENCLUE 2 is faster than DENCLUE 1.
However, the first DECNLUE variant outperforms the second variant in discovering arbitrary-shapes clusters.
American Psychological Association (APA)
Khidr, Maryam& al-Nuaymat, Ghazi. 2020. Discovery of arbitrary-shapes clusters using DENCLUE algorithm. The International Arab Journal of Information Technology،Vol. 17, no. 4A (s), pp.629-634.
https://search.emarefa.net/detail/BIM-1432246
Modern Language Association (MLA)
Khidr, Maryam& al-Nuaymat, Ghazi. Discovery of arbitrary-shapes clusters using DENCLUE algorithm. The International Arab Journal of Information Technology Vol. 17, no. 4A (Special issue) (2020), pp.629-634.
https://search.emarefa.net/detail/BIM-1432246
American Medical Association (AMA)
Khidr, Maryam& al-Nuaymat, Ghazi. Discovery of arbitrary-shapes clusters using DENCLUE algorithm. The International Arab Journal of Information Technology. 2020. Vol. 17, no. 4A (s), pp.629-634.
https://search.emarefa.net/detail/BIM-1432246
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 633-634
Record ID
BIM-1432246