• Journal of Korea Technology Innovation Society
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• v.10 no.1
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• pp.98-120
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• 2007

This study analyzed the linkage relations of technological innovation between Daedeok Innopolis and other seven innovative clusters in industrial complexes which have played important roles as innovative centers in Korea. To begin with, we selected major technologies of Daedeok Innopolis for which the linkage with other clusters of innovative activities was analyzed quantitatively and graphically with association matrices, network analysis and dendrogram. Based on this network analysis, we analyzed the technological linkage among clusters and found the direction and strength of technological cooperation of the Daedeok Innopolis with other innovative clusters by technology field. This study analyzed the technological network between the Daedeok Innopolis and other clusters on 6 technology fields in which Daedeok has innovative capabilities. In the analysis was measured the centrality of Daedeok compared with that of other clusters in areas where Daedeok is relatively active in innovative activities. As a result, Daedeok showed the highest centrality with the active innovative activities. Except Daedeok, Banwol-Sihwa cluster showed the highest centrality in all of the 6 technology fields. Putting all the centrality of each innovative cluster and the linkage relations of Daedeok Innopolis together, it need to consider the following policy directions to strengthen the innovative linkage with other clusters. In Daedeok's main technology areas, it needs to increase the regional linkage with the clusters with relatively high centrality and relatively low linkage with Daedeok. For Changwon, Wonju and Gunsan with which Daedeok has the relatively low innovative linkage, it need to examine a new policy to improve the linkage with technologies related with the industry other clusters are nurturing. When Daedeok formulates a plan to cooperate with other clusters, it does not only have to consider the linkage relations of technological innovation analyzed in this study and but also has to examine the cooperative strategies from the comprehensive point of view considering every aspect of their strategic industries, supportive policies, industrial base and competitiveness. This study analyzed the linkage relations between regions based on the network analysis of patents only by co-invention. Consequently, it did not examine the factors inducing the co-invention, which is a limitation of the study and is to be investigated in the future. Also, the exploratory analysis on determinants of linkage intensity and the strategies to get synergy effects through solidified linkage will be the issues of further study.

• Journal of the Economic Geographical Society of Korea
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• v.8 no.2
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• pp.195-215
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• 2005

This study was carried into execution to analyze Spatial Characteristics of Seoul Business Services Cluster in circumstance of local economic development led by knowledge-intensive business services. The analysis was performed for industrial agglomeration and companies' linkage and network. As the result, there are three business services cluster, including the largest one in Gang-Nam Gu, Seoul, and for last 10 years, there has been increasing development of business services cluster. In the meanwhile, their linkage and network have not been performed briskly. Therefore, from now on, a plan that can help companies' linkage and network performed inside of cluster to have active and international structure has to be considered in cluster policy.

• Korean Journal of Medicinal Crop Science
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• v.13 no.1
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• pp.30-34
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• 2005

Polygonatum species are a useful medical crop in Korea but basic study in the species was not well conducted. The study was carried out to analyse genetic diversity and intraspecific relationship of 47 Polygonatum species collected from Gyeongnam province. Their analysis was done through principle component analysis and average linkage cluster analysis with their twelve morphological traits. The result of principle component analysis showed the Prin 1, Prin 2 and Prin 3 represented 79% of total variation. By the 0.7 average distance of the cluster analysis and the calculated Euclidian distance, the 47 collected species were grouped into five groups. Group I included 22 collected species representing P. ordoratum var. pluriflorum, group II did 5 ones representing P. involucratum, group III was divided into two subclasses, 2 species including P. inflatum and 7 species including P. thunbergii, group IV also consisted of 2 subclasses, a species similar to P. thunbergii and P.involucratum, respectively, and finally group V included 8 species representing P.lasianthum var. coreanum. meaning that the useful germplasms can be collected from relatively small area.

• Atmosphere
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• v.16 no.4
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• pp.259-267
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• 2006

In the present study, the neural network (NN) model with cluster analysis method was developed to predict storm surge in the whole Korean coastal regions with special focuses on the regional extension. The model used in this study is NN model for each cluster (CL-NN) with the cluster analysis. In order to find the optimal clustering of the stations, agglomerative method among hierarchical clustering methods was used. Various stations were clustered each other according to the centroid-linkage criterion and the cluster analysis should stop when the distances between merged groups exceed any criterion. Finally the CL-NN can be constructed for predicting storm surge in the cluster regions. To validate model results, predicted sea level value from CL-NN model was compared with that of conventional harmonic analysis (HA) and of the NN model in each region. The forecast values from NN and CL-NN models show more accuracy with observed data than that of HA. Especially the statistics analysis such as RMSE and correlation coefficient shows little differences between CL-NN and NN model results. These results show that cluster analysis and CL-NN model can be applied in the regional storm surge prediction and developed forecast system.

• Journal of Korean Society of Rural Planning
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• v.23 no.3
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• pp.147-161
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• 2017

Climate changes from global warming and reduction in agricultural land result in volatility of prices of agricultural products, causing a imbalance of food market in Korea. It is necessary to develop a transnational food industry cooperation system among Korea, China and Russia that directly or indirectly affect food industry in terms of the whole industrial network. This study analyzes the value chain and linkage in the agriculture, forestry and fisheries industries in three nations. The unit structure and the industrial patterns of three nations were derived using the World Input-output Table (WIOT) from 2004 to 2014 every five years. This paper is expected to contribute to develop food security cooperation in the northern part of the Korean peninsula and to promote the mutual growth of food industry through industry linkage and cooperation.

• Journal of Plant Biotechnology
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• v.42 no.4
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• pp.401-408
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• 2015

Horticultural traits and genetic relationship were evaluated for 83 melon (Cucumis melo L.) cultivars. Survey of a total of 36 characteristics for seedling, leaf, stem, flower, fruit, and seed and subsequent multiple analysis of variance (MANOVA) were conducted. Principal component analysis (PCA) showed that 8 principle components including fruit weight, fruit length, fruit diameter, cotyledon length, seed diameter, and seed length accounted for 76.3% of the total variance. Cluster analysis of the 83 melon cultivars using average linkage method resulted in 5 clusters at coefficient of 0.7. Cluster I consisted of cultivars with high values for fruit-related traits, Cluster II for soluble solid content, and Cluster V for high ripening rate. Genotyping of the 83 cultivars was conducted using 15 expressed-sequence tagged-simple sequence repeat (EST-SSR) from the Cucurbit Genomics Initiative (ICuGI) database. Analysis of genetic relatedness by UPGMA resulted in 6 clusters. Mantel test indicated that correlation between morphological and genetic distance was very low (r = -0.11).

• Animal Systematics, Evolution and Diversity
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• v.8 no.2
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• pp.189-200
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• 1992

In the present investigation, some cluster analyses were done for each population of the native honeybee workers(Apis cerana), which were selected for 15 different localities in spring and 16 in summer from Korea. In this analysis, the seasonal segregation was perfectly revealed by both Ward's and the average linkage between groups methods, whereas, it did not necessarily revealed any systematic relationship between geographical groups.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.31 no.3
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• pp.79-99
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• 2020

The purpose of this study is to investigate the model of cluster analysis techniques for grouping public libraries and analyze their characteristics. Statistical data of public libraries of the National Library Statistics System were used, and three models of cluster analysis were applied. As a result of the study, cluster analysis was conducted based on the size of public libraries, and it was largely divided into two clusters. The size of the cluster was largely skewed to one side. For grouping based on size, the ward method of hierarchical cluster analysis and the k-means cluster analysis model were suitable. Three suggestions were presented as implications of the grouping method of public libraries. First, it is necessary to collect library service-related data in addition to statistical data. Second, an analysis model suitable for the data set to be analyzed must be applied. Third, it is necessary to study the possibility of using cluster analysis techniques in various fields other than library grouping.

• Asian-Australasian Journal of Animal Sciences
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• v.17 no.8
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• pp.1047-1052
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• 2004

The genomes of Chinese native chicken populations were screened using microsatellites as molecular markers. A total of, 528 individuals comprisede12 Chinese native chicken populations were typed for 7 microsatellite markers covering 5 linkage groups and genetic variations and genetic distances were also determined. In the 7 microsatellite loci, the number of alleles ranged from 2 to 7 per locus and the mean number of alleles was 4.6 per locus. By using fuzzy cluster, 12 Chinese native chicken populations were divided into three clusters. The first cluster comprised Taihe Silkies, Henan Game Chicken, Langshan Chicken, Dagu Chicken, Xiaoshan Chicken, Beijing Fatty Chicken and Luyuan Chicken. The second cluster included Chahua Chicken, Tibetan Chicken, Xianju Chicken and Baier Chicken. Gushi Chicken formed a separate cluster and demonstrated a long distance when comparing with other chicken populations.

• Korean Journal of Medicinal Crop Science
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• v.5 no.4
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• pp.260-265
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• 1997

Varietal distances were measured by Euclidian $D^2$ statistics in 1, 891 possible comparisons among sixty two varieties of Alisma plantago with seven characters such as leaf width, leaf length, stem length, number of stems per plant, root diameter, and yield of fresh and dry root. A complete linkage cluster analysis based on the Euclidian distance $(D^2)$ was attempted. Sixty two cultivars of Alisma plantago were largely classified into five subgroups. Group 1, 2, 3, 4 and 5 included twelve, twenty one, seventeen, five and seven cultivars, respectively. Most of the varietal groups were not associated with their geographical origins. Stem length and root weight among the seven characters were the largest contributors to the $D^2$ in both intra- and inter- groups.