Proceedings of the 2019 International Conference on Economic Management and Cultural Industry (ICEMCI 2019) 2019
DOI: 10.2991/aebmr.k.191217.163
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Research on Spatial Co-Agglomeration Between Financial Services Industry and Manufacturing in Zhejiang Province

Abstract: Based on the actual data of county in Zhejiang province, this paper analyses the levels of agglomeration of financial services industry and co-agglomeration between financial services industry and manufacturing in Zhejiang province. The conclusions are as follows: The levels of financial services industry agglomeration is low in past and currently belonging to moderate agglomeration, and was inclined "N"-type upward trend; the levels of co-agglomeration are high between financial services industry and manufact… Show more

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“…In this paper, the improved local density and relative offset distance will be used to identify the clustering centers. Then a new scoring method is proposed for scoring all points to determine the clustering centers by scoring, see Equation (6). (6) Using the assessment score values , each point in the data set is sorted.…”
Section: Adaptive Determination Of Clustering Centersmentioning
confidence: 99%
See 2 more Smart Citations
“…In this paper, the improved local density and relative offset distance will be used to identify the clustering centers. Then a new scoring method is proposed for scoring all points to determine the clustering centers by scoring, see Equation (6). (6) Using the assessment score values , each point in the data set is sorted.…”
Section: Adaptive Determination Of Clustering Centersmentioning
confidence: 99%
“…Then a new scoring method is proposed for scoring all points to determine the clustering centers by scoring, see Equation (6). (6) Using the assessment score values , each point in the data set is sorted. Higher score values will be assigned to points that have elevated local density and high comparative offset distances, and then the scores are sorted in descending order from highest to lowest.…”
Section: Adaptive Determination Of Clustering Centersmentioning
confidence: 99%
See 1 more Smart Citation