Cargando…
Incremental Interval Type-2 Fuzzy Clustering of Data Streams using Single Pass Method
Data Streams create new challenges for fuzzy clustering algorithms, specifically Interval Type-2 Fuzzy C-Means (IT2FCM). One problem associated with IT2FCM is that it tends to be sensitive to initialization conditions and therefore, fails to return global optima. This problem has been addressed by o...
Autores principales: | Qaiyum, Sana, Aziz, Izzatdin, Hasan, Mohd Hilmi, Khan, Asif Irshad, Almalawi, Abdulmohsen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7309007/ https://www.ncbi.nlm.nih.gov/pubmed/32517018 http://dx.doi.org/10.3390/s20113210 |
Ejemplares similares
-
Managing Security of Healthcare Data for a Modern Healthcare System
por: Almalawi, Abdulmohsen, et al.
Publicado: (2023) -
An Attribute Extraction for Automated Malware Attack Classification and Detection Using Soft Computing Techniques
por: Albishry, Nabeel, et al.
Publicado: (2022) -
Analysis of the Exploration of Security and Privacy for Healthcare Management Using Artificial Intelligence: Saudi Hospitals
por: Almalawi, Abdulmohsen, et al.
Publicado: (2022) -
Network classification for traffic management: anomaly detection, feature selection, clustering and classification
por: Tari, Zahir, et al.
Publicado: (2020) -
Computational Approach for Detection of Diabetes from Ocular Scans
por: Khan, Asif Irshad, et al.
Publicado: (2022)