[1]杨 金,陈 林,周 强,等.基于数据的K均值理论及其应用[J].南京师大学报(自然科学版),2021,44(02):10-17.[doi:10.3969/j.issn.1001-4616.2021.02.003]
　Yang Jin,Chen Lin,Zhou Qiang,et al.Application of K-Means Theory Based on Data[J].Journal of Nanjing Normal University(Natural Science Edition),2021,44(02):10-17.[doi:10.3969/j.issn.1001-4616.2021.02.003]
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基于数据的K均值理论及其应用()
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《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

卷:
第44卷
期数:
2021年02期
页码:
10-17
栏目:
·数学·
出版日期:
2021-06-30

文章信息/Info

Title:
Application of K-Means Theory Based on Data
文章编号:
1001-4616(2021)02-0010-08
作者:
杨 金1; 陈 林1; 周 强2; 陈建勋1
(1.重庆交通大学数学与统计学院,重庆 400074)(2.重庆南开中学,重庆 400074)
Author(s):
Yang Jin1; Chen Lin1; Zhou Qiang2; Chen Jianxun1
(1.Chongqing Jiaotong University,Chongqing 400074,China)(2.Chongqing Nankai Middle School,Chongqing 400074,China)
关键词:
K-均值聚类; 主成分分析; 数据处理; 特征参数
Keywords:
K-means cluster; principal component analysis; data processing; characteristic parameter
分类号:
O175.13
DOI:
10.3969/j.issn.1001-4616.2021.02.003
文献标志码:
A
摘要:
首先使用主成分分析方法对车辆行驶工况的特征参数进行处理,然后利用K-均值聚类原理对所有具有代表性的运动学片段进行聚类分析,由此得出汽车行驶工况的数学原理. 为汽车节能减排的发展和建立能够正确反映我国道路工况特征的行驶工况提供理论依据.
Abstract:
In this paper,the principal component analysis method is used to process the characteristic parameters of vehicle driving conditions,and the K-means clustering principle is used to cluster all the representative kinematics fragments,and then the mathematical principle of vehicle driving conditions is obtained. It provides a theoretical basis for the development of automobile energy saving and emission reduction and the establishment of driving conditions that can accurately reflect the characteristics of road conditions in China.

参考文献/References:

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[7]YEUNG K Y,RUZZO W L. Principal component analysis for clustering gene expression data[J]. Bioinformatics,2019,17(9):763-74.
[8]KORHONEN P,SILJAMKI A. Ordinal principal component analysis theory and an application[J]. Computational statistics & data analysis,1998,26(4):411-424.
[9]白奕. 多指标综合评价的主成分分析模型及原理[J]. 陕西师范大学学报(自然科学版),1998,26(2):105-106.
[10]刘靖明,韩丽川,侯立文. 基于粒子群的K均值聚类算法[J]. 系统工程理论与实践,2005,25(6):54-58.
[11]温瑞英,王红勇. 基于因子分析和K-means聚类的空中交通复杂性评价[J]. 太原理工大学学报,2016,47(3):384-388,404.
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备注/Memo

备注/Memo:
收稿日期:2020-10-26.
基金项目:国家自然科学基金项目(11801047)、重庆市自然科学基金项目(cstc2019jcyj-msxmX0755)、重庆市研究生导师团队建设项目(JDDSTD201802)、重庆市教委科学技术研究项目(自然科学类)(KJQN201900707)、重庆市教育科学规划课题(2020-07-203).
通讯作者:杨金,博士,副教授,研究方向:生物数学. E-mail:seehom@126.com
更新日期/Last Update: 2021-06-30