Computer Science & Electrical
Volume: 101 , Issue: 1 , May Published Date: 27 May 2022
Publisher Name: IJRP
Views: 647 , Download: 416 , Pages: 333 - 341
DOI: 10.47119/IJRP1001011520223192
Publisher Name: IJRP
Views: 647 , Download: 416 , Pages: 333 - 341
DOI: 10.47119/IJRP1001011520223192
Authors
| # | Author Name |
|---|---|
| 1 | Arvin David N. Celiz |
| 2 | Jomarie M. Mayo |
| 3 | Dan Michael A. Cortez |
| 4 | Khatalyn E. Mata |
| 5 | Elsa S. Pascual |
| 6 | Aireen F. Ramos |
Abstract
BIRCH algorithm uses the concept of radius to manage cluster boundaries, which yields good results when clustering spherical data but unsatisfactory results when clustering non-spherical data. In which, it splits non-spherical data into several clusters in some circumstances. This paper proposed an enhancement to the BIRCH algorithm that allows it to cluster non-spherical data. The result of the experiment in this paper shows Enhanced BIRCH algorithm performs better than BIRCH algorithm in clustering non-spherical dataset.