Back to Search
Start Over
A statistical fuzzy clustering approach to analyze the characteristics of the number of new cancer cases in Asia for Health
- Source :
- E3S Web of Conferences, Vol 513, p 03001 (2024)
- Publication Year :
- 2024
- Publisher :
- EDP Sciences, 2024.
-
Abstract
- Cancer is a disease characterized by the uncontrolled growth and spread of abnormal cells in an organ of the human body. Asia is the continent that has the most significant number of new cases of cancer, with a percentage of 49.3% of the number of cancer patients in the world. Preventive action to deal with the spread of cancer is the responsibility of the government to improve the quality of health in the country, so it is necessary to take action to prevent the spread of cancer and help archieve the Sustainable Development Goals (SDGs) at the third point in the field of health. One of them is by determining the characteristics of the cancer and clustering countries in Asia based on their characteristics. This article will discuss the clustering of countries in Asia using fuzzy clustering in the form of fuzzy k-means, fuzzy Gustafson-Kessel babushka and fuzzy k-medoids. the results obtained from the analysis show that using fuzzy k-means will have a more excellent fuzzy silhouette index value compared to fuzzy Gustafson-Kessel babushka and fuzzy k-medoids, which is 0.6313.
- Subjects :
- Environmental sciences
GE1-350
Subjects
Details
- Language :
- English, French
- ISSN :
- 22671242 and 20245130
- Volume :
- 513
- Database :
- Directory of Open Access Journals
- Journal :
- E3S Web of Conferences
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.b41c58d147b4c6a905a208ae7d3c498
- Document Type :
- article
- Full Text :
- https://doi.org/10.1051/e3sconf/202451303001