2019
DOI: 10.3233/jifs-190261
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MIPCNF: Multi-iterative partitioning class noise filter

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Cited by 2 publications
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“…The method mainly utilized the ability of k-nearest neighbors based metric approaches with a variety of thresholds. Zerhari et al [18] modified INFFC by using partitioning strategies and removing portion of good examples in each iteration. Sabzevari et al [19] proposed a two stages noise detection method based on the sampling rate of bootstrapping and the degree of disagreement between the individual ensemble members.…”
Section: Related Work a Data Cleaning Methodsmentioning
confidence: 99%
“…The method mainly utilized the ability of k-nearest neighbors based metric approaches with a variety of thresholds. Zerhari et al [18] modified INFFC by using partitioning strategies and removing portion of good examples in each iteration. Sabzevari et al [19] proposed a two stages noise detection method based on the sampling rate of bootstrapping and the degree of disagreement between the individual ensemble members.…”
Section: Related Work a Data Cleaning Methodsmentioning
confidence: 99%