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...
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| Format: | Article |
| Language: | English |
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Wiley
2011-01-01
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| Series: | Advances in Fuzzy Systems |
| Online Access: | http://dx.doi.org/10.1155/2011/265170 |
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| _version_ | 1832560421390778368 |
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| author | Takeshi Yamamoto Katsuhiro Honda Akira Notsu Hidetomo Ichihashi |
| author_facet | Takeshi Yamamoto Katsuhiro Honda Akira Notsu Hidetomo Ichihashi |
| author_sort | Takeshi Yamamoto |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e730e87545184e49ac2b972117fb1576 |
| institution | Kabale University |
| issn | 1687-7101 1687-711X |
| language | English |
| publishDate | 2011-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Fuzzy Systems |
| spelling | doaj-art-e730e87545184e49ac2b972117fb15762025-02-03T01:27:37ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2011-01-01201110.1155/2011/265170265170A Comparative Study on TIBA Imputation Methods in FCMdd-Based Linear Clustering with Relational DataTakeshi Yamamoto0Katsuhiro Honda1Akira Notsu2Hidetomo Ichihashi3Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Osaka 599-8531, JapanDepartment of Computer Science and Intelligent Systems, Osaka Prefecture University, Osaka 599-8531, JapanDepartment of Computer Science and Intelligent Systems, Osaka Prefecture University, Osaka 599-8531, JapanDepartment of Computer Science and Intelligent Systems, Osaka Prefecture University, Osaka 599-8531, JapanRelational 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.http://dx.doi.org/10.1155/2011/265170 |
| spellingShingle | Takeshi Yamamoto Katsuhiro Honda Akira Notsu Hidetomo Ichihashi A Comparative Study on TIBA Imputation Methods in FCMdd-Based Linear Clustering with Relational Data Advances in Fuzzy Systems |
| title | A Comparative Study on TIBA Imputation Methods in FCMdd-Based Linear Clustering with Relational Data |
| title_full | A Comparative Study on TIBA Imputation Methods in FCMdd-Based Linear Clustering with Relational Data |
| title_fullStr | A Comparative Study on TIBA Imputation Methods in FCMdd-Based Linear Clustering with Relational Data |
| title_full_unstemmed | A Comparative Study on TIBA Imputation Methods in FCMdd-Based Linear Clustering with Relational Data |
| title_short | A Comparative Study on TIBA Imputation Methods in FCMdd-Based Linear Clustering with Relational Data |
| title_sort | comparative study on tiba imputation methods in fcmdd based linear clustering with relational data |
| url | http://dx.doi.org/10.1155/2011/265170 |
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