• Journal of the Korean Data and Information Science Society
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• v.24 no.4
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• pp.783-791
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• 2013

There are sixteen indicators of "College Information" found on the website of College Information Disclosure Center. Among these indicators, the current study examined an enrollment rate and an employment rate based on health insurance coverage, and focused on twenty-four universities in Daegu and Gyeongbuk area. The universities were classified into groups by the enrollment rate and employment rate. This study investigated the characteristics pertaining to those different groups. Hierarchical cluster analysis and support vector cluster analysis were conducted in order to analyze the characteristics of the groups statistically.

• Journal of the Korean Academic Society of Industrial Cluster
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• v.4 no.1
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• pp.14-50
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• 2010

This study focused on the competitiveness analysis of industrial cluster using econometric method and competency analysis method to measure the situation of Seocho-gu industrial cluster and Yangjae R&D cluster at Seoul. The econometric method used the data such as the number of firms, the number of employee, GRDP. The competency analysis method measured the level of agglomeration of cluster for years through LQ(Location quotient) index. In addition, the characteristics and structure of each industry in Secho-gu and Yangjae-dong R&D cluster. The circumstance of location and business, the competency of potential ability of industries were analysed by SWOT. In sum, this study has the following conclusion. First, Seocho-gu and Yangjae-dong region has an advantage in the circumstance for R&D related industry and man power. Second, Seocho-gu and Yangjae-dong region has a good potential for development in R&D related industries. These region has a good relationship the four major R&D related industry of Seoul. Third, these region also has a advantage in the potential development of R&D related researchers in the corresponding industries.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.7
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• pp.1019-1028
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• 2004

The purpose of this study was to compare the body measurements of cyclists and non-cyclists and to classify cyclists＇ body types to offer basic information for the bicycle apparel manufacturer in Korea. The anthropometric data was collected including both direct and indirect measurements of 81 cyclists (40 female, 41 male) aged from 19 to 24. Anthropometric measurements were analyzed using percentiles, T-test, factor and cluster analysis. The results were as follows; Comparison of anthropomeoic data between cyclist and non-cyclist was to clarify that cyclists have bigger size than non-cyclists; especially the thigh circumference shows big differences. As the result of factor analysis, 5 factors, which explain 74% of variance, were extracted from all items for male and female cyclists. The results of cluster analysis classified body types into 3 groups. Cluster 1 among three female cyclist groups has biggest torso and had an erect back. Cluster 2 has small size among three female group and drooping shoulders. Cluster 3 has the bended forward shoulders and shows the protrusion back. In case of male cyclists, cluster 1 has thin body type owing to big height measurements and small girth measurements. Cluster 2 among three male groups has the biggest torso and thigh circumference. Cluster 3 has big forward angle of shoulders and shows the protrusion of the back as female cyclist.

• Korean Journal of Child Studies
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• v.35 no.2
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• pp.103-115
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• 2014

This study explored the creative thinking styles of children according to cluster analysis and examined group differences in the gender of children. The participants consisted of 250 elementary school students living in Seoul, Korea. Data were analyzed by means of cluster analysis and ${\chi}^2$ test. The results from the cluster analysis based on the scores on the sub-factors of TTCT(Torrance Test of Creative Thinking) suggested the existence of four clusters('Non-creative', 'Divergent creative', 'Elaborate creative, 'Multiple creative'). Additionally, four clusters were found to be differentiated according to gender.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.4
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• pp.515-533
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• 2012

Industrial cluster is adopted as a key policy for the development of regional and national economies in many developed or under-developing countries. The industrial cluster is basically concerned with knowledge sharing and exchanges among diverse functions such as firms, research institutions, and universities in a regional or innovation-network context. Therefore, activities to promote knowledge sharing and exchanges in an industrial cluster become very important activities to reach to the original purpose of an industrial cluster. In this study, factors affecting performance of those activities to promote knowledge sharing and exchanges in an industrial cluster are defined and the effects are examined through empirical study. For this research, surveys on enterprisers and employees in industrial cluster were conducted and statistical analysis methods such as correlation analysis, multiple regression analysis, and canonical correlation analysis were adopted for analyses.

• Review of Culture and Economy
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• v.21 no.3
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• pp.89-124
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• 2018

Although design industry belongs to one of the creative industries and contributes significantly to urban cultural economy based on its cluster formation, researches on design industry are rarely made explicit from the perspective of creative industry cluster. After reviewing the life cycle of design industry clusters in Euljiro and Hongdae Area in Seoul, this study compares these two clusters with respect of diverse dimensions of creative industry cluster such as agglomeration economy, spin-off activities and institutional environments. Research methodology includes the analysis of ?Seoul Business Statistics? and the in-depth interviews with 14 professional designers. The result shows that design industry cluster in Euljiro is close to the traditional industry cluster mainly dependent on printing industry with very limited impact on urban economy, while Hongdae Area develops creative industry cluster by virtue of university spin-offs, art markets, hybrid cultural consumption spaces and the active participation of designers contributing to urban economy in diverse ways. This comparative analysis highlights the importance of various environmental components to encourage creative activities in developing the creative industry cluster.

• Cartoon and Animation Studies
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• s.25
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• pp.155-175
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• 2011

The cultural cluster in Chuncheon was initiated in the late 1990s with the combination of diverse components, which were companies, a local government entity, educational institutions, and human resources. In order to hold ability of standing on its own way in a hard time when the local cultural industries could not had developed by themselves, it urgently required the encouragement policy in the name of industry development. GIMC (Gangwon Information & Multimedia Corporation) was established in this situation, and policy strategies for promoting the cultural cluster was decided on the basis of GIMC's strategies. This article analyzes the evolution process of the local cluster and suggests characteristics of its every stage--initiation, development, and decline--on the basis of cluster competition concept because of the problem to deal with the evolution process of cluster from the existing viewpoint. This article finds out that Chuncheon cluster embarked on cultural cluster strategies without concerning basic elements which had to be prepared from the initial stage. This problem worked as the serious obstacle hampering development of Chunchen cluster. This problem was the matter of policies in providing a direction of industry development as well as leading a local cultural cluster and led to a result of weakening the connection among cluster components. As a result, this article shows that the current status of Chuncheon cultural cluster is being entered the decline stage, and, therefore, suggests that the advanced policy to promote cluster for a next round is urgently needed. Stable closing the first round of cultural cluster policies and thorough preparation for the second round is the only practical solution to minimize side effects of cluster decline. It is the prerequisite to restore trust and, at the same time, reinforce relationship between members who consist of Chuncheon cultural cluster.

• International Commerce and Information Review
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• v.9 no.4
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• pp.217-239
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• 2007

We want to know the key factors which are important to make any cluster grow up. First, we make four cluster types which are national policy type, local recruit type, local network type, and existing industry transforming type. Second, We selected Austin case and Kyushu case as two local recruit type clusters. Third, this paper looks into the dynamics of two clusters. Forth, we arrive at the conclusion including the policy implication for Daegu technopolis.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.145-151
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• 2011

This study assumed the competitive structure based on genre classification for Korean online game contents market, and carried out the analysis on the degree and characteristics of the competition that appear differently in each sub market classified according to the genre. First, to analyze the market power of the rank 1 and 2 game contents in each genre, using the play time share ratio and standard deviation statistics values in the genre, ANOVA analysis and Cluster analysis were carried out for each genre. According to ANOVA analysis result, in the rank 1 game share ratio in each genre, there was a relationship of 'FPS/Racing > RST/Sports > Poker > Go-stop > RPG > Arcade > Board', and in the play time total share ratio of rank 1 and 2 games, the relationship of 'RTS > FPS/Racing > Sports > RPG > Go-stop > Poker > Arcade > Board' was verified. And in Cluster analysis, the groups of the genres with the degree of market power tendency and the variability at similar level were classified and stated.

• 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).