| Autor: |
Sumitha, T., Jaison, B., Kavitha, P., Ilampiray, P. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 3075 Issue 1, p1-12, 12p |
| Abstrakt: |
Clustering is the process of grouping similar data elements together. Clustering algorithms are used in various data mining applications. It is essential to analyse the similar data among large volumes of data. Medical data is one of the important datasets which acquires the help of data clustering algorithm for identifying patient category based on the severity of the disease. In this work, we have presented a system to perform an analysis of covid 19 data using clustering algorithm for healthcare people to know about severely affected covid-19 states. We have used the recent covid-19 dataset for India and evaluated the system with clustering algorithm for ensuring the appropriate recommendation on affected states. The proposed system recommends the highly affected area effectively and it has been experimented with till date datasets. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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