Enforcement of rough fuzzy clustering based on correlation analysis
Joint Authors
Subramanion, Revathy
Balasubramanian, Parvathavarthini
Nur al-Din, Shajunisha
Source
The International Arab Journal of Information Technology
Issue
Vol. 14, Issue 1 (31 Jan. 2017)
Publisher
Publication Date
2017-01-31
Country of Publication
Jordan
Main Subjects
Information Technology and Computer Science
Topics
- Artificial intelligence
- Decision making
- Computing
- Mathematical models
- Simulation methods
- Data processing
- Logic machines
- Data mining
- Fuzzy sets
- Fuzzy logic
- Bionics
Abstract EN
Clustering is a standard approach in analysis of data and construction of separated similar groups.
The most widely used robust soft clustering methods are fuzzy, rough and rough fuzzy clustering.
The prominent feature of soft clustering leads to combine the rough and fuzzy sets.
The Rough Fuzzy C-Means (RFCM) includes the lower and boundary estimation of rough sets, and fuzzy membership of fuzzy sets into c-means algorithm, the widespread RFCM needs more computation.
To avoid this, this paper proposes Fuzzy to Rough Fuzzy Link Element (FRFLE) which is used as an important factor to conceptualize the rough fuzzy clustering from the fuzzy clustering result.
Experiments with synthetic, standard and the different benchmark dataset shows the automation process of the FRFLE value, then the comparison between the results of general RFCM and RFCM using FRFLE is observed.
Moreover, the performance analysis result shows that proposed RFCM algorithm using FRFLE deals with less computation time than the traditional RFCM algorithms.
American Psychological Association (APA)
Subramanion, Revathy& Balasubramanian, Parvathavarthini& Nur al-Din, Shajunisha. 2017. Enforcement of rough fuzzy clustering based on correlation analysis. The International Arab Journal of Information Technology،Vol. 14, no. 1.
https://search.emarefa.net/detail/BIM-693619
Modern Language Association (MLA)
Subramanion, Revathy…[et al.]. Enforcement of rough fuzzy clustering based on correlation analysis. The International Arab Journal of Information Technology Vol. 14, no. 1 (Jan. 2017).
https://search.emarefa.net/detail/BIM-693619
American Medical Association (AMA)
Subramanion, Revathy& Balasubramanian, Parvathavarthini& Nur al-Din, Shajunisha. Enforcement of rough fuzzy clustering based on correlation analysis. The International Arab Journal of Information Technology. 2017. Vol. 14, no. 1.
https://search.emarefa.net/detail/BIM-693619
Data Type
Journal Articles
Language
English
Notes
Includes appendices.
Record ID
BIM-693619