• Title, Summary, Keyword: cluster analysis

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Implementation of Integrated Analysis System for Bioinformatics Analysis

  • Koo Bong-Oh;Shin Yong-Won
    • Biomedical Science Letters
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    • v.10 no.4
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    • pp.523-528
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    • 2004
  • The core factor of the study is integrated environment based PC-Cluster system and high speed access rate up to 155 Mbps, continuous collection system for bioinformatics information at home and abroad. The results of the study are establishment and stabilization of information and communication infrastructure, establishment and stabilization of high performance computer network up to 155 Mbps, development of PC-Cluster system with 32 nodes, a parallelized BLAST on Cluster system, which can provides scalable speedup in terms of response time, and development of collection and search system for bioinformatics information.

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Cluster analysis by month for meteorological stations using a gridded data of numerical model with temperatures and precipitation (기온과 강수량의 수치모델 격자자료를 이용한 기상관측지점의 월별 군집화)

  • Kim, Hee-Kyung;Kim, Kwang-Sub;Lee, Jae-Won;Lee, Yung-Seop
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.5
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    • pp.1133-1144
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    • 2017
  • Cluster analysis with meteorological data allows to segment meteorological region based on meteorological characteristics. By the way, meteorological observed data are not adequate for cluster analysis because meteorological stations which observe the data are located not uniformly. Therefore the clustering of meteorological observed data cannot reflect the climate characteristic of South Korea properly. The clustering of $5km{\times}5km$ gridded data derived from a numerical model, on the other hand, reflect it evenly. In this study, we analyzed long-term grid data for temperatures and precipitation using cluster analysis. Due to the monthly difference of climate characteristics, clustering was performed by month. As the result of K-Means cluster analysis is so sensitive to initial values, we used initial values with Ward method which is hierarchical cluster analysis method. Based on clustering of gridded data, cluster of meteorological stations were determined. As a result, clustering of meteorological stations in South Korea has been made spatio-temporal segmentation.

A Study of Child Emotion Regulation by the Cluster of Mother's Reaction to Children's Negative Emotion (아동의 부정적 정서표현에 대한 어머니 반응 유형의 군집에 따른 아동의 정서조절 능력 차이 검증)

  • Kim, Jiyoun;Oh, Ji-Hyun
    • Korean Journal of Childcare and Education
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    • v.13 no.3
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    • pp.39-54
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    • 2017
  • Objective: The purpose of this study was to examine natural groupings of the sub-factors of mother's reaction to children's negative emotions. The natural groupings were as follows; the emotion-coaching-reaction, the emotion-minimizing-reaction and oversensitive reaction. In addition, this paper also investigated individual differences in children's emotion regulation by clusters of sub-factors of mother's reaction to children's negative emotions. Methods: The subjects of this study consisted of 318 children. The data were analyzed using cluster analysis and one-way ANOVA. Results: The results suggested four proper clusters, according to the characteristics of mother's reaction to children's negative emotions. Cluster 1 was categorized as 'child centered-emotion coaching', cluster 2 was categorized as 'oversensitive-emotion coaching comorbid', cluster 3 was categorized as 'acception-emotion minimizing confused' and cluster 4 was categorized as 'emotion minimizing-unsupporting.' Additionally, the differences between Emotion regulations in each cluster showed distinct points of interest. In terms of the maladaptive emotion regulation, cluster 3 showed the highest level followed by cluster 4. And cluster 1 and 2 showed the lowest level. Conclusion/Implications: The results of this study helped to find a deeper understanding of the operation of specific clusters of mother's reaction to children's negative emotion and children's emotion regulation.

An Empirical Study on the Korean Photonics Industrial Cluster Effects : Focusing on Absorptive Capacity and Corporate Performance (광주 광산업 클러스터 효과에 관한 연구 : 조직의 흡수역량과 기업성과에 미치는 영향에 관한 실증연구)

  • Bae, Jae-Kwon;Koo, Chul-Mo
    • Journal of Information Technology Applications and Management
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    • v.19 no.2
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    • pp.117-134
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    • 2012
  • Cluster industries are geographically concentrated and inter-connected by the flow of goods and services, which is stronger than the flow linking them to the rest of the economy. Photonics industries are one of the fastest growing high-tech industries in the world today. Especially, the city of Gwangju(South Korea) industrial cluster, a specialized complex in photonics industry, produced remarkable results in developing high-quality technologies since it launched the cluster program in 2005. Gwangju photonics industrial cluster will be ranked top level of the world photonics industry. In this sense, this study is aimed at proposing a new research model in which corporate performance influence factors of photonics industrial cluster (i.e., business environment, cooperative relationship, and industry-university-research institute partnership) affect absorptive capacity positively, leading to corporate performance eventually. This study developed a research model to explain the Korean photonics industrial cluster effects, and collected 91 survey responses from photonics based company managers in industrial cluster complex. To prove the validity of the proposed research model, PLS analysis is applied with valid 91 questionnaires. By employing PLS technique, the measurement reliability and validity of research variables are tested and the path analysis is conducted to do the hypothesis testing. In brief, the finding of this study suggests that corporate performance influence factors of photonics industrial cluster affect absorptive capacity positively, and corporate performance as well.

Research Trend Analysis on Practical Arts (Technology & Home Economics) Education Using Social Network Analysis (소셜 네트워크 분석(SNA)을 이용한 실과(기술·가정)교육 분야 연구 동향 분석)

  • Kim, Eun Jeung;Lee, Yoon-Jung;Kim, Jisun
    • Family and Environment Research
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    • v.56 no.6
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    • pp.603-617
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    • 2018
  • This study analyzed research trends in the field of Practical Arts (Technology & Home Economics) education. From 958 articles published between 2010 and 2018 in the Journal of Korean Practical Arts Education (JKPAE), Journal of Korean Home Economics Education Association (JHEEA), and Korean Journal of Technology Education Association (KJTEA), 958 keywords were extracted and analyzed using NetMiner 4. When the general network structure was analyzed, keywords such as practical arts education, curriculum, textbook, home economics education, and students were high in the degree centrality and closeness centrality, and textbook, practical arts education, curriculum, student, home economics education, and invention were high in the node betweenness centrality. The cluster analysis showed that a four-cluster solution was most appropriate: cluster 1, technology and experiential learning activities; cluster 2, curriculum studies and practical problem; cluster 3, relationships; and cluster 4, creativity and character education. The three journals showed differences in the knowledge network structure: The topics of JKPAE and JKHEEA focused on general content knowledge and curriculum, while the topics of KJTEA were spread across invention and creativity education, and curriculum studies.

Vegetation Structure of Peucedanum japonicum Thunb. Community in Southern Coast of Korea

  • Kim, Seong-Min;Shin, Dong-Il;Yoon, Seong-Tak;Song, Hong-Seon
    • Korean Journal of Medicinal Crop Science
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    • v.15 no.5
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    • pp.357-361
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    • 2007
  • This study was conducted to evaluate the vegetation structure of the Peucedanum japonicum community by the phytosociological method of floristic composition table and cluster analysis on the southern coast of Korea. The vegetation of the Peucedanum japonicum community was classified mainly into 2 communities such as the Miscanthus sinensis community and the Lysimachia mauritiana-Rosa wichuraiana community. The Carex boottiana and Sedum oryzifolium community were classified as the lower rank of Miscanthus sinensis community. On level 1 of the cluster analysis of plant species, they were classified into Lysimachia mauritiana and Rosa wichuraiana group, also Miscanthus sinensis, Carex boottiana and Sedum oryzifolium in Peucedanum japonicum community, which is similar to the community classification shown in the synoptic table. On level 1 of the cluster analysis of relev, inland coast with Jejudo was Lysimachia mauritiana and Rosa wichuraiana of group such as level 1 of the cluster analysis of plant species, and island coast with Geomundo was Miscanthus sinensis Carex boottiana and Sedum oryzifolium of group such as cluster analysis of plant species.

College Students' Apparel Shopping Orientations and Store Selection for Purchasing Jeans (대학생의 의류쇼핑성향과 청바지 구매 시 점포선택)

  • 박혜정;신은주;정혜영
    • Journal of the Korean Society of Clothing and Textiles
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    • v.28 no.5
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    • pp.547-558
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    • 2004
  • The purposes of this study were to classify shopper types based on clothing shopping orientations and to identify the differences in store selection criteria and demographic characteristics by shopper types. The questionnaire was administered to female and male undergraduate and graduate students living in Seoul. Of 330 returned questionnaires, 319 were used in the statistical analysis which were factor analysis, cluster analysis, $\chi$$^2$-test, and One-way ANOVA. The results of this study were as follows: 1) Clothing shopping orientations had six factors: recreational shopping, name conscious shopping, economic shopping, fashion oriented shopping, convenience shopping. and individualistic shopping. Cluster analysis identified that clothing shopping orientations had four groups: recreational cluster, individualistic cluster, demanding shopper cluster, and convenient brand conscious shopper cluster. 2) Clothing shopping orientations were significantly different in relation to the demographic characteristics such as gender, major field of study, expenditure on clothing, pocket money, and family income level. 3) Store selection criteria had five factors: service quality, physical store environment, sales personnel, shopping convenience, and other attractions. 4) There were significant differences in physical store environment, shopping convenience, and other attractions according to the shopper clusters.

Change in settlement conditions of mountain area in Chungcheong region over a 10 year period : categorization of mountain villages

  • Lee, Bo-Hwi;Kim, Se-Bin;Kim, Uhn Soon
    • Korean Journal of Agricultural Science
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    • v.43 no.1
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    • pp.40-51
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    • 2016
  • This study analyzed settlement condition changes of Chungcheong region's mountain area during 10 years, from 2001 to 2012. We performed factor analysis and cluster analysis of data from the 'Census for Mountain Area' carried out by the Korea Forest Service in 2001 and 2012. Factors 1, 2, 3, and 4 represent 'the superiority of non-agricultural income', 'the industrialized mountainous area', 'residential conveniences and benefits', and 'the use of forest resources', respectively. Clusters 1, 2, 3, 4, and 5 are categorized as 'non-agricultural income', 'various mass social functions', 'production of forest products', 'industrialized mountainous region', and 'ordinary mountain region', respectively. We suggest that cluster 1 has potential for development and should be promoted as a possible tourist attraction by digging up geographically unique themes. Cluster 2 has great potential for development and needs planned management through the maintenance or expansion of existing infrastructure. Cluster 3 has potential for development with various high value added industries uncovered. Cluster 4 shows vitality as it holds plenty of more job opportunities than other regions. Cluster 5 is deteriorating as a mountainous region because of an aging population, and it urgently demands development. For a decade, 45 of the 60 regions belonged to a single category, which are now differentiated broadly into two types: Firstly, deterioration changes to potential development and Secondly, vitality is differentiated into potential development and deterioration.

The Classification of Men's Foot Shape According to Age (성인 남성의 연령대별 발 형태 분류)

  • Lee, Ji-Eun;Kwon, Young-Ah
    • Fashion & Textile Research Journal
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    • v.10 no.5
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    • pp.644-651
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    • 2008
  • The health of foot is connected with individual's health and affects men's activity. In order to develope comfort socks, both foot size and foot shape must be considered. The purpose of this study was to categorize men's foot shape according to age using men's foot scan data (with 2005 Size Korea). Factor analysis, Cluster analysis, ANOVA, and Duncan's test were performed for statistical analysis of the data by SPSS Win 12.00 program. The results are as follows. 1. Nine factors constituting the men's foot were extracted through factor analysis and those factors comprised 77.7% of total variance. 2. On the basis of the cluster analysis, four different foot shapes were categorized. Cluster 1 was characterized by large in toe and ankle size. Cluster 2 was characterized by short foot length, low foot height, and small foot breadth/girth. Cluster 3 was characterized by large and high in foot height. Cluster 4 was characterized by short in foot length and large in foot breadth/girth. 3. Distribution of four foot shape clusters from 20 to 70 years in age above were categorized. For the 20 to 29 years in age, cluster 2, while for the over 30 years in age cluster 4 or cluster 3 is the most dominant foot type. A foot breadth in the 50 years over is wider size range than that in the below 49 years. The foot figures of elderly men over 60 years were smaller than those of below 60 years.

Critical Review on the Cluster Adaptive Cycle Model (클러스터 적응주기 모델에 대한 비판적 검토)

  • Jeon, Jihye;Lee, Chulwoo
    • Journal of the Economic Geographical Society of Korea
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    • v.20 no.2
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    • pp.189-213
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    • 2017
  • This study seeks to critically examine the significance and limits of the cluster adaptive cycle model for analysis of cluster evolution and to propose research issues for future analysis of cluster evolution based on this critical examination. Until the 1980s, research on industrial complexes including clusters was based on a 'static perspective' that focuses on the aspect of economic space at a specific point in time, but the research paradigm has recently shifted to a 'dynamic perspective' focusing on 'evolution' of 'complex adaptive systems'. As a result, the adaptive cycle model has attracted attention as an analysis tool of dynamically evolving clusters. However, the cluster adaptive cycle model has emerged by being appropriately modified and expanded according to the properties of the cluster and its evolution. The cluster adaptive cycle model is a comprehensive analysis framework that identifies the characteristics of cluster evolution in terms of resource accumulation, interdependence, and resilience and classifies cluster evolution paths into six different categories. Nevertheless, there is still a need for further discussion and supplementation in terms of theoretical and empirical research to expand and deepen the model. Therefore, research issues for future analysis of cluster evolution are to specify and elaborate the cluster evolution model, to emphasize the concept of resilience, and to verify the applicability and usefulness of the model through empirical research.