Environmental Impact Evaluation Method of Grinding Process Using Clustering and ANFIS

Wang, Yugang; Xiu, Shichao

doi:10.14257/ijca.2017.10.8.15

Cited by 1 publication

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“…Classification is divides incomplete data with mixed values into existing categories according to the characteristics or attributes of data. Clustering is to divide highsimilar things into meaningful and useful data group clusters according to the similarity of things [4], [5].…”

Section: Introductionmentioning

confidence: 99%

High-Dimensional Clustering for Incomplete Mixed Dataset Using Artificial Intelligence

2020

IEEE Access

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In order to address the problem that high energy consumption, high memory usage and low clustering effect in traditional data set high-dimensional clustering algorithms, we propose the highdimensional clustering algorithm of incomplete mixed data set based on artificial intelligence. First, we construct the phase space reconstruction to ensure the invariance of features of incomplete mixed data set by analyzing the incomplete mixed data set and introduce the correlation dimension to obtain the feature correlation value. Second, we introduce the standard deviation and realize the extraction of features of incomplete mixed data set through calculating the sparsity of sample features. Third, we conduct repeated clustering for the mixed data set in the subspace according to the degree of correlation between incomplete mixed data sets in the multidimensional subspace. Last, we realize the design of high-dimensional clustering method for incomplete mixed data set in accordance with the stronger relevance in the mixed data sets. Experimental results show that the proposed algorithm has good correlation dimension processing effects, lower memory usage, time-consuming, lower and concentrated ensemble energy consumption (within 300J), good clustering effects, as high as 92%, which has some advantages and practical application value.

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Section: Introductionmentioning

confidence: 99%

High-Dimensional Clustering for Incomplete Mixed Dataset Using Artificial Intelligence

2020

IEEE Access

View full text Add to dashboard Cite

show abstract

Environmental Impact Evaluation Method of Grinding Process Using Clustering and ANFIS

Abstract: Abstract

Cited by 1 publication

References 12 publications

High-Dimensional Clustering for Incomplete Mixed Dataset Using Artificial Intelligence

High-Dimensional Clustering for Incomplete Mixed Dataset Using Artificial Intelligence

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