Grey Kmeans algorithm and its application to the analysis of regional competitive ability

机译：灰色威盟算法及其在区域竞争力分析中的应用

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

Mining and discovering clusters from tremendous data is a useful analysis work for many applications like economics, medicine, engineering, etc. As a widely applied clustering method, Kmeans has the merits of fast running and moderate clustering quality. However, the traditional Euclidean measure has its own inefficiency. In this paper, a new clustering method that integrates the grey relational analysis from grey theory into Kmeans algorithm is proposed to overcome the shortcomings of traditional Kmeans. By applying to the analysis of reginal competitive ability of regions in China, the new algorithm proved to be an effective and efficient method.

机译：来自巨大数据的挖掘和发现群集是经济学，医学，工程等许多应用的有用分析工作，作为广泛应用的聚类方法，威尔北部具有快速运行和中等聚类质量的优点。然而，传统的欧几里德措施有自己的低效率。本文提出了一种新的聚类方法，该方法将灰色理论与灰色理论分析到kmeans算法，以克服传统邮件的缺点。通过申请中国地区的区域竞争能力分析，新算法被证明是一种有效且有效的方法。

著录项

来源
《IEEE Joint International Information Technology and Artificial Intelligence Conference》|2014年||共5页
会议地点
作者
Qirong Qiu; Qishan Zhang; Kun Guo;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类人工智能理论;
关键词
Kmeans; clustering; grey relational analysis;

机译：Kmeans;聚类;灰色关系分析;

相似文献

外文文献
中文文献
专利

1. Deterioration of abstract reasoning ability in mild cognitive impairment and Alzheimer's disease: correlation with regional grey matter volume loss revealed by diffeomorphic anatomical registration through exponentiated lie algebra analysis. [J] . Yoshiura T, Hiwatashi A, Yamashita K, European radiology . 2011,第2期

机译：轻度认知障碍和阿尔茨海默氏病中抽象推理能力的下降：通过指数李代数分析，通过微形解剖配准揭示了与区域灰质体积损失的相关性。
2. Deterioration of abstract reasoning ability in mild cognitive impairment and Alzheimer’s disease: correlation with regional grey matter volume loss revealed by diffeomorphic anatomical registration through exponentiated lie algebra analysis [J] . Takashi Yoshiura, Akio Hiwatashi, Koji Yamashita, European Radiology . 2011,第2期

机译：轻度认知障碍和阿尔茨海默氏病中抽象推理能力的下降：通过指数谎言代数分析通过微形解剖配准揭示了与区域灰质体积减少的相关性
3. A state-of the-art literature survey of grey relational analysis applications in competitive business environment [J] . Arvind Jayant, Vikrant Giri, Pradeep K. Singh, International journal of industrial and systems engineering . 2018,第4期

机译：竞争商业环境中灰色关联分析应用程序的最新文献调查
4. Grey Kmeans algorithm and its application to the analysis of regional competitive ability [C] . Qirong Qiu, Qishan Zhang, Kun Guo 2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference . 2014

机译：灰色K均值算法及其在区域竞争力分析中的应用。
5. Theoretical and experimental analysis of the generalization ability of some statistical learning algorithms. [D] . Andonova Jaeger, Savina Kirilova. 2004

机译：对某些统计学习算法的泛化能力的理论和实验分析。
6. The water supply association analysis method in Shenzhen based on kmeans clustering discretization and apriori algorithm [O] . Xin Liu, Xuefeng Sang, Jiaxuan Chang, 2021

机译：深圳供水协会分析方法基于Kmeans聚类离散化和APRiori算法
7. APPLICATION OF CLASSIFICATION ALGORITHM OF MACHINE LEARNING AND BUFFER ANALYSIS IN TORISM REGIONAL PLANNING [O] . T. H. Zhang, H. W. Ji, Y. Hu, 2018

机译：机器学习分类算法在旅游区域规划中的应用分类算法

Grey Kmeans algorithm and its application to the analysis of regional competitive ability

摘要

著录项

相似文献

相关主题

期刊订阅