A Comparative Study on TIBA Imputation Methods in FCMdd-Based Linear Clustering with Relational Data
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...
Main Authors: | Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2011-01-01
|
Series: | Advances in Fuzzy Systems |
Online Access: | http://dx.doi.org/10.1155/2011/265170 |
Similar Items
-
A Study of Wang Shu’s Calligraphy - with Xuzhou Tiba and Zhuyun Tiba as Examples
by: Cheng-Wen Han, et al.
Published: (2012) -
A Semi-Supervised Framework for MMMs-Induced Fuzzy Co-Clustering with Virtual Samples
by: Daiji Tanaka, et al.
Published: (2016-01-01) -
PESAN DAKWAH DALAM LAGU “BILA TIBA”
by: Bagus Sujatmiko, et al.
Published: (2017-01-01) -
Centrifugal casting of an Al-TiBâ‚‚ composite
by: Forster, Matilda Faith
Published: (2003) -
A Collaborative Framework for Privacy Preserving Fuzzy Co-Clustering of Vertically Distributed Cooccurrence Matrices
by: Katsuhiro Honda, et al.
Published: (2015-01-01)