Fuzzy Clustering in Cascaded Feature Space

Volume: 21, Issue: 7, Pages: 2155 - 2167
Published: Aug 19, 2019
Abstract
The 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...
Paper Details
Title
Fuzzy Clustering in Cascaded Feature Space
Published Date
Aug 19, 2019
Volume
21
Issue
7
Pages
2155 - 2167
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