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An Improved Grey Clustering Model with Multiattribute Spatial-Temporal Feature for Panel Data and Its Application
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-30
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Due to the complexity and uncertainty of the objective world and the limitation of cognition, it is difficult to extract the information and rules contained in the panel data effectively based on the traditional panel data clustering method.
Given this, considering that the absolute amount level, increasing amount level, and volatility level are the main indicators to represent the spatial-temporal feature of the panel data, a novel grey clustering model with the multiattribute spatial-temporal feature of panel data is established, and then it is applied in the regional high-tech industrialization in China.
The results show that the proposed model can make full use of the spatial-temporal feature information of the panel data, identify the problems existing in the clustering objects, and make the clustering results more objective and practical.
American Psychological Association (APA)
Li, Jian& Chen, Wan-ming. 2020. An Improved Grey Clustering Model with Multiattribute Spatial-Temporal Feature for Panel Data and Its Application. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1197281
Modern Language Association (MLA)
Li, Jian& Chen, Wan-ming. An Improved Grey Clustering Model with Multiattribute Spatial-Temporal Feature for Panel Data and Its Application. Mathematical Problems in Engineering No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1197281
American Medical Association (AMA)
Li, Jian& Chen, Wan-ming. An Improved Grey Clustering Model with Multiattribute Spatial-Temporal Feature for Panel Data and Its Application. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1197281
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197281