Enhancing Fuzzy C-Means Clustering with a Novel Standard Deviation Weighted Distance Measure
The aim of this paper is to present a new approach to address the Fuzzy C Mean algorithm, which is considered one of the most important and famous algorithms that addressed the phenomenon of uncertainty in forming clusters according to the overlap ratios. One of the most important problems facing th...
| Published in: | مجلة بغداد للعلوم |
|---|---|
| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
University of Baghdad, College of Science for Women
2024-09-01
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| Subjects: | |
| Online Access: | https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/9516 |
