2021
DOI: 10.1109/access.2021.3053244
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A Clustering Analysis Method With High Reliability Based on Wilcoxon-Mann-Whitney Testing

Abstract: As a core step in clustering analysis, distance measurement results can influence clustering accuracy. Existing measurement methods are mostly based on cluster feature information. However, these cluster features may be insufficient and result in losing data information for clusters containing a number of objects. To improve measurement accuracy, we make full use of the distribution characteristics of objects in clusters, i.e., we use descriptive statistics and the Wilcoxon-Mann-Whitney rank sum test in nonpar… Show more

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Cited by 6 publications
(2 citation statements)
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“…The semantic representation of all entity resources can be obtained by different semantic modeling algorithms, and the relationship between different entity resources can be obtained. In order to select the entity resource modeling algorithm suitable for this paper, this paper adopts the clustering method of public cultural entities based on semantic relations [25]. The objective function formula of the clustering method is shown in…”
Section: Methodsmentioning
confidence: 99%
“…The semantic representation of all entity resources can be obtained by different semantic modeling algorithms, and the relationship between different entity resources can be obtained. In order to select the entity resource modeling algorithm suitable for this paper, this paper adopts the clustering method of public cultural entities based on semantic relations [25]. The objective function formula of the clustering method is shown in…”
Section: Methodsmentioning
confidence: 99%
“…The goal is to cluster similar data together and separate different data points as much as possible. It is a commonly used data mining technique [24].…”
Section: The Coordinate Grid Methodsmentioning
confidence: 99%