UM
Fuzzy Clustering in Cascaded Feature Space
Zhao,Yin Ping; Chen,Long; Chen,C. L.Philip
2019-10-01
Source PublicationInternational Journal of Fuzzy Systems
ISSN1562-2479
Volume21Issue:7Pages:2155-2167
AbstractThe success of fuzzy clustering heavily relies on the proper feature space constructed by the input data. For nonspherical and overlapped clusters, kernel fuzzy clustering is more effective because it finds more proper feature space compared to conventional fuzzy clustering. Unfortunately, poor scalability of kernel fuzzy clustering is induced by the construction of a kernel matrix. To solve the problem, random feature-based method was presented to approximate the kernel function. More interestingly, these features exposed in the approximate feature space are directly manipulable. Inspired by the architecture of functional-link neural network, to exploit more information from both the original data space and the approximate kernel space, a new feature space called cascaded feature space (CF) is constructed in this paper. By performing classical fuzzy c-means (FCM) in CF space, a new fuzzy clustering framework called FCM-CF is developed. To reduce computational complexity and perform FCM in CF space well, dimension reduction methods are adopted to generate two variants of FCM-CF. The experiment results of our proposed algorithms verify their superiority in comparison of other classical fuzzy clustering algorithms.
KeywordCascaded feature Fuzzy clustering Kernel Random feature
DOI10.1007/s40815-019-00714-x
URLView the original
Language英語English
Scopus ID2-s2.0-85071251015
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Cited Times [WOS]:2   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorChen,Long
AffiliationDepartment of Computer and Information Science,University of Macau,Macao
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Zhao,Yin Ping,Chen,Long,Chen,C. L.Philip. Fuzzy Clustering in Cascaded Feature Space[J]. International Journal of Fuzzy Systems,2019,21(7):2155-2167.
APA Zhao,Yin Ping,Chen,Long,&Chen,C. L.Philip.(2019).Fuzzy Clustering in Cascaded Feature Space.International Journal of Fuzzy Systems,21(7),2155-2167.
MLA Zhao,Yin Ping,et al."Fuzzy Clustering in Cascaded Feature Space".International Journal of Fuzzy Systems 21.7(2019):2155-2167.
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