2017
DOI: 10.1016/j.patrec.2016.11.009
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Analysis of several decision fusion strategies for clustering validation. Strategy definition, experiments and validation

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Cited by 6 publications
(8 citation statements)
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“…Since there is no universal CVI to always make a correct decision, many authors [44,69] agreed to use multi-criteria solutions to reach the best and adequate results. Multi-criteria solutions assume the adoption of several CVIs to achieve greater certainty and correctness of clustering results.…”
Section: Related Workmentioning
confidence: 99%
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“…Since there is no universal CVI to always make a correct decision, many authors [44,69] agreed to use multi-criteria solutions to reach the best and adequate results. Multi-criteria solutions assume the adoption of several CVIs to achieve greater certainty and correctness of clustering results.…”
Section: Related Workmentioning
confidence: 99%
“…Moreover, Kryszczuk and Hurley [44] pointed that the best-performing scheme was the mean-rule decision fusion scheme. The recent work by Yera et al [69] also discusses the use of decision fusion strategies for cluster validation purposes. The authors suggested two types of voting strategies: Global Voting and Selective Voting.…”
Section: Related Workmentioning
confidence: 99%
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