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...
Saved in:
| Main Authors: | Ahmed Husham Mohammed, Marwan Abdul Hameed Ashour |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Baghdad, College of Science for Women
2024-09-01
|
| Series: | مجلة بغداد للعلوم |
| Subjects: | |
| Online Access: | https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/9516 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Study on Fuzzy-Clustering Methods in Fuzzy Time Series Forecasting with Application
by: Azher Abbas mohammad Ayad hammad, et al.
Published: (2023-02-01) -
ANFIS Models with Subtractive Clustering and Fuzzy C-Mean Clustering Techniques for Predicting Swelling Percentage of Expansive Soils
by: Mehdi Hashemi Jokar, et al.
Published: (2024-10-01) -
An effective imputation approach for handling missing data using intuitionistic fuzzy clustering algorithms
by: Kavita Sethia, et al.
Published: (2025-07-01) -
Using Fuzzy Clustering to Detect the Tumor Area in Stomach Medical Images
by: Ekhlas Falih Naser, et al.
Published: (2021-12-01) -
An Investigation on Factors Affecting Maturity of Organizational Orientation Toward E-business Using FCM Model
by: Ali-Reza Talebpour, et al.
Published: (2009-03-01)