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Grey incidence clustering method based on multidimensional dynamic time warping distance
  • ISSN号:1004-4132
  • 期刊名称:《系统工程与电子技术:英文版》
  • 时间:0
  • 分类:N945[自然科学总论—系统科学]
  • 作者机构:[1]School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • 相关基金:This work was supported by the National Natural Science Foundationof China (61533020; 61309014) and the Natural Science FoundationProject of CQ CSTC (cstc2017jcyjAX0408).
中文摘要:

The traditional grey incidence degree is mainly based on the distance analysis methods, which is measured by the displacement difference between corresponding points between sequences. When some data of sequences are missing (inconsistency in the length of the sequences), the only way is to delete the longer sequences or to fill the shorter sequences. Therefore, some uncertainty is introduced. To solve this problem, by introducing three-dimensional grey incidence degree (3D-GID), a novel GID based on the multidimensional dynamic time warping distance (MDDTW distance-GID) is proposed. On the basis of it, the corresponding grey incidence clustering (MDDTW distance-GIC) method is constructed. It not only has the simpler computation process, but also can be applied to the incidence comparison between uncertain multidimensional sequences directly. The experiment shows that MDDTW distance-GIC is more accurate when dealing with the uncertain sequences. Compared with the traditional GIC method, the precision of the MDDTW distance-GIC method has increased nearly 30%.

英文摘要:

The traditional grey incidence degree is mainly based on the distance analysis methods, which is measured by the displacement difference between corresponding points between sequences. When some data of sequences are missing (inconsistency in the length of the sequences), the only way is to delete the longer sequences or to fill the shorter sequences. Therefore, some uncertainty is introduced. To solve this problem, by introducing three-dimensional grey incidence degree (3D-GID), a novel GID based on the multidimensional dynamic time warping distance (MDDTW distance-GID) is proposed. On the basis of it, the corresponding grey incidence clustering (MDDTW distance-GIC) method is constructed. It not only has the simpler computation process, but also can be applied to the incidence comparison between uncertain multidimensional sequences directly. The experiment shows that MDDTW distance-GIC is more accurate when dealing with the uncertain sequences. Compared with the traditional GIC method, the precision of the MDDTW distance-GIC method has increased nearly 30%.

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期刊信息
  • 《系统工程与电子技术:英文版》
  • 主管单位:中国航天机电集团
  • 主办单位:中国航天工业总公司二院
  • 主编:高淑霞
  • 地址:北京海淀区永定路52号
  • 邮编:100854
  • 邮箱:jseeoffice@126.com
  • 电话:010-68388406 68386014
  • 国际标准刊号:ISSN:1004-4132
  • 国内统一刊号:ISSN:11-3018/N
  • 邮发代号:82-270
  • 获奖情况:
  • 航天系统优秀期刊奖,美国工程索引(EI)和英国科学文摘(SA)收录
  • 国内外数据库收录:
  • 荷兰文摘与引文数据库,美国工程索引,美国剑桥科学文摘,美国科学引文索引(扩展库),英国科学文摘数据库
  • 被引量:242