A new minority kind of sample sampling method based on genetic algorithm and K-means cluster

机译：一种基于遗传算法和K均值群的新型样本采样方法

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摘要

In view of the classification favors seriously to the most kinds when we use the traditional sorter to classify the imbalanced data set and the errors of classification of minority kind is big, A new minority kind of sample sampling method based on genetic algorithm and K-means cluster is proposed. First the method clusters and groups the minority kind of sample through K-means algorithm, then gains the new sample in each cluster through the genetic algorithm and the valid confirmation is proceed. Finally, The validity of experimental results is proved through using SVM and KNN sorter.

机译：鉴于对大多数种类的分类有利于当我们使用传统的分拣机来分类不平衡数据集和少数群体分类的错误很大，基于遗传算法和k均值的新型样本采样方法建议群集。首先，方法群集并将少数群体样本通过K-means算法，然后通过遗传算法获得每个群集中的新样本，并继续确认。最后，通过使用SVM和KNN分拣机证明了实验结果的有效性。

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《International Conference on Computer Science Education》|2012年||共4页
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Yong Yang; Xin_cheng Gao;
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中图分类 TP3-53;
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1. SST clustering for winter precipitation prediction in southeast of Iran: Comparison between modified K-means and genetic algorithm-based clustering methods [J] . Banafsheh Zahraie, Abbas Roozbahani Expert Systems with Application . 2011,第5期

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2. Does Determination of Initial Cluster Centroids Improve the Performance of K-Means Clustering Algorithm? Comparison of Three Hybrid Methods by Genetic Algorithm, Minimum Spanning Tree, and Hierarchical Clustering in an Applied Study [J] . Saeedeh Pourahmad, Atefeh Basirat, Amir Rahimi, Computational and mathematical methods in medicine . 2020,第1期

机译：初始簇质心的确定是否提高了K-Means聚类算法的性能？应用研究中遗传算法，最小生成树和分层聚类的三种混合方法的比较
3. GeneticTKM: A Hybrid Clustering Method Based on Genetic Algorithm, Tabu Search and K-Means [J] . Masoud Yaghini, Nasim Gereilinia International journal of geotechnical earthquake engineering . 2013,第1期

机译：GeneticTKM：基于遗传算法，禁忌搜索和K-Means的混合聚类方法
4. A new minority kind of sample sampling method based on genetic algorithm and K-means cluster [C] . Yong Yang, Xin_cheng Gao 2012 7th international conference on computer science amp; education . 2012

机译：基于遗传算法和K-means聚类的少数样本采样新方法
5. Sample size estimation with nonparametric methods for one sample location tests under clustered data. [D] . Hu, Fan. 2010

机译：使用非参数方法的样本量估计，用于在聚类数据下进行的一个样本位置测试。
6. Does Determination of Initial Cluster Centroids Improve the Performance of K-Means Clustering Algorithm? Comparison of Three Hybrid Methods by Genetic Algorithm Minimum Spanning Tree and Hierarchical Clustering in an Applied Study [O] . Saeedeh Pourahmad, Atefeh Basirat, Amir Rahimi, 2020

机译：初始簇质心的确定是否提高了K-Means聚类算法的性能？应用研究中遗传算法最小生成树和分层聚类的三种混合方法的比较
7. The Research of Imbalanced Data Set of Sample Sampling Method Based on K-Means Cluster and Genetic Algorithm [O] . Yong Yang 2012

机译：基于K-Means聚类和遗传算法的样本采样方法不平衡数据集研究
8. Sampling Within k-Means Algorithm to Cluster Large Datasets [R] . Bejarano, J., Bose, K., Brannan, T., 2011

机译：在k-means算法中采样以聚类大数据集

A new minority kind of sample sampling method based on genetic algorithm and K-means cluster

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