![](/images/graphics-bg.png)
A Comparative Study on TIBA Imputation Methods in FCMdd-Based Linear Clustering with Relational Data
Joint Authors
Ichihashi, Hidetomo
Notsu, Akira
Honda, Katsuhiro
Yamamoto, Takeshi
Source
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-10-16
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
Relational fuzzy clustering has been developed for extracting intrinsic cluster structures of relational data and was extended to a linear fuzzy clustering model based on Fuzzy c-Medoids (FCMdd) concept, in which Fuzzy c-Means-(FCM-) like iterative algorithm was performed by defining linear cluster prototypes using two representative medoids for each line prototype.
In this paper, the FCMdd-type linear clustering model is further modified in order to handle incomplete data including missing values, and the applicability of several imputation methods is compared.
In several numerical experiments, it is demonstrated that some pre-imputation strategies contribute to properly selecting representative medoids of each cluster.
American Psychological Association (APA)
Yamamoto, Takeshi& Honda, Katsuhiro& Notsu, Akira& Ichihashi, Hidetomo. 2011. A Comparative Study on TIBA Imputation Methods in FCMdd-Based Linear Clustering with Relational Data. Advances in Fuzzy Systems،Vol. 2011, no. 2011, pp.1-10.
https://search.emarefa.net/detail/BIM-458715
Modern Language Association (MLA)
Yamamoto, Takeshi…[et al.]. A Comparative Study on TIBA Imputation Methods in FCMdd-Based Linear Clustering with Relational Data. Advances in Fuzzy Systems No. 2011 (2011), pp.1-10.
https://search.emarefa.net/detail/BIM-458715
American Medical Association (AMA)
Yamamoto, Takeshi& Honda, Katsuhiro& Notsu, Akira& Ichihashi, Hidetomo. A Comparative Study on TIBA Imputation Methods in FCMdd-Based Linear Clustering with Relational Data. Advances in Fuzzy Systems. 2011. Vol. 2011, no. 2011, pp.1-10.
https://search.emarefa.net/detail/BIM-458715
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-458715