Incremental Interval Type-2 Fuzzy Clustering of Data Streams using Single Pass Method

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...

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Bibliographic Details
Main Authors: Sana Qaiyum, Izzatdin Aziz, Mohd Hilmi Hasan, Asif Irshad Khan, Abdulmohsen Almalawi
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Sensors
Subjects:
ant colony optimization
data stream
interval type-2 fuzzy c-means
incremental learning
Online Access:https://www.mdpi.com/1424-8220/20/11/3210

Internet

https://www.mdpi.com/1424-8220/20/11/3210

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