Abstract
Fuzzy approaches are playing an important role in data mining. This paper in details analyses and compares the fuzzy clustering approaches based on the fuzzy equivalence relationthe fuzzy similarity relationthe fuzzy maximum tree and the optimized tree. According to the comparison, this paper gives a conclusion: the first three approaches referred are equal and the forth approach has the lowest degree of distortion, and finally verifies the conclusion by an instance.
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Yang, Cd., Ren, Jj. (2009). The Comparison about the Clustering Analysis Based on the Fuzzy Relation. In: Cao, By., Zhang, Cy., Li, Tf. (eds) Fuzzy Information and Engineering. Advances in Soft Computing, vol 54. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88914-4_56
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DOI: https://doi.org/10.1007/978-3-540-88914-4_56
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88913-7
Online ISBN: 978-3-540-88914-4
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