Abstract
This paper proposes a novel fuzzy c-means clustering algorithm which treats attributes differently. Moreover, by analyzing the Hessian Matrix of the new algorithm’s objective function, we get a rule of parameters’ selection. The experiments demonstrate the validity of the new algorithm and the guideline for the parameters’ selection.
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Li, C., Yu, J. (2006). A Novel Fuzzy C-Means Clustering Algorithm. In: Wang, GY., Peters, J.F., Skowron, A., Yao, Y. (eds) Rough Sets and Knowledge Technology. RSKT 2006. Lecture Notes in Computer Science(), vol 4062. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11795131_74
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DOI: https://doi.org/10.1007/11795131_74
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36297-5
Online ISBN: 978-3-540-36299-9
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