• The Korean Journal of Ecology
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• 제10권2호
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• pp.91-107
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• 1987

This study is concerned with some methods and applications, used as a basis on information and entropy analysis of vegetation data. These methods are adopted for the evaluating the effect of sampling intensity on information, which repersnets the departure of observed variable from standard component. Classes on the data matrix are caluculated by using marginal dispersion array for rank and weighting information program. Finally the information and entropy are computed by applying seven options. On the application of vegetation studies, two models for cluster analysis and analysis of concentration are explained in detail. Cluster analysis is based on use of equivocation information and Rajski's metrics. The analysis of concentration utilizes coherence coefficience being transformed values, which has been adjusted from blocks and entropy values. The relationship btween three begetation clusters and four stands of Naejangsan data is highly significant in 79% of total variance. Cluster A relatively tends to prefer north side, and cluster C south side.

• Animal cells and systems
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• 제2권4호
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• pp.439-449
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• 1998

To discuss the taxonomic dispositions of Korean Isopyroideae (Ranunculaceae) taxa, principal components analysis and cluster analysis were performed using quantitative and qualitative morphological characters. The principal components analysis revealed that the size and number of ovule, ovary width, ratio of style length/ovary length, filament length, sepal size, style length, leaf size, and ovary length are important characters to distinguish Korean Isopyroideae taxa. The cluster and principal components analyses based on both quantitative and quantitative characters demonstrate that lsopyrum mandshuricum is more closely related to Enemion raddeanum than to Semiaquilegia adoxoides. Even though Enemion s not separated from Isopyrum by uantitative characters, they are distinguished by qualitative characters, suggesting that our taxa, Enemion, Semiaquilegia, Isopyrum and Aquilegia, should be recognized in Korean Isopyroideae. In addition, cluster analyses suggest that S. adoxoides could be separated from Aquilegia buergeriana var, oxysepala.

• 대한공간정보학회지
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• 제24권2호
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• pp.63-70
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• 2016

A housing market in an urban area is not just a single market but a combination of regionally different submarkets. This study begins with a critical mind that previous researches did not consider the spatial autocorrelation of each area where the housings are located. The clustering analysis of housing submarket which considers spatial autocorrelation is performed as it follows. First, 4 housing market attribute variables are reducted to 1 variable by principle component analysis. Then, after calculating $Gi^*max$ by AMOEBA, 7 housing submarkets which have similar characteristics based on $Gi^*max$ are classified. The characteristics of each submarket are investigated, then political implication is deduced as the following. Different level of housing policy should be made to each cluster because each cluster has different level of spatial autocorrelation.

• 유통과학연구
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• 제14권1호
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• pp.67-74
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• 2016

Purpose - In this paper, the degree of similarity and dissimilarity between pairs of 50 major cities in China can be shown on the basis of three evaluation variables(internet businessman index, internet shopping index and e-commerce development index). Dissimilarity distance matrix is used to analyze both similarity and dissimilarity between each fifty city in China by calculating dissimilarity as distance. Higher value signifies higher degree of dissimilarity between two cities. Cluster analysis is exploited to classify 50 cities into a number of different groups such that similar cities are placed in the same group. In addition, multidimensional scaling(MDS) technique can obtain visual representation for exploring the pattern of proximities among 50 major cities in China based on three development performance attributes. Research design, data, and methodology - This research is performed by the 2013 report provided with AliResearch in China(1/1/2013~11/30/2013) and utilized multivariate methods such as dissimilarity distance matrix, cluster analysis and MDS by using CLUSTER, KMEANS, PROXIMITIES and ALSCAL procedures in SPSS 21.0. Results - This research applies two types of cluster analysis and MDS on three development performances based on the 2013 report of Aliresearch. As a result, it is confirmed that grouping is possible by categorizing the types into four clusters which share similar characteristics. MDS is exploited to carry out positioning of both grouped locations of cluster and 50 major cities belonging to each cluster. Since all the values corresponding to Shenzhen, Guangzhou and Hangzhou(which belong to cluster 1 among 50 major cities) are very large, these cities are superior to other cities in all three evaluation attributes. Twelve cities(Beijing, ShangHai, Jinghua, ZhuHai, XiaMen, SuZhou, NanJing, DongWan, ZhangShan, JiaXing, NingBo and FoShan), which belong to cluster 3, are inferior to those of cluster 1 in terms of all three attributes, but they can be expected to be the next e-commerce revolution. The rest of major cities, in particular, which belong to cluster 4 are relatively inferior in all three attributes, so that this automatically evokes creative innovation, which leads to e-commerce development as a whole in China. In terms of internet businessman index, on the other hand, Tainan, Taizhong, and Gaoxiong(which belong to cluster 2) are situated superior to others. However, these three cities are inferior to others in an internet shopping index sense. The rest of major cities, in particular, which belong to cluster 4 are relatively inferior in all three evaluation attributes, so that this automatically evokes innovation and entrepreneurship, which leads to e-commerce development as a whole in China. Conclusions - This study suggests the implications to help e-governmental officers and companies make strategies in both Korea and China. This is expected to give some useful information in understanding the recent situation of e-commerce in China, by looking over development performances of 50 major cities. Therefore, we should develop marketing, branding and communication relevant to online Chinese consumers. One of these efforts will be incentives like loyalty points and coupons that can encourage consumers and building in-house logistics networks.

• World Technopolis Review
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• 제4권3호
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• pp.144-156
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• 2015

Globalization and knowledge-based economy have increased the importance of local areas as the units of global competition. Therefore, the meaning of localities has been emphasized as the core value of economic activities. In this context, innovation cluster has been recognised and emphasized as effective policy measure for innovation. Therefore, most countries have been trying to develop innovation clusters with their expectation for a rapid growth of economy. Nevertheless, there have been minimal empirical researches on innovation cluster. Therefore, for suggesting implications that activation factors of innovation cluster are to have an effect on tenant's business activities, this study conducted a literature review for the theories of regional innovation system(RIS) and innovation cluster. As a result, the activation factors of innovation cluster were classified into institutional, physicals, and social factor. The case of Gyeonggi province's innovation cluster policy was examined for an empirical analysis. Data were analyzed using ordered logistic regression. The results were as follows:First, Institutional and Infra factors had a positive influence on firms' business activities in every empirical test, so they were the most important activation factors of innovation cluster. Second, regarding the interactive effects of financial support, the interactive effects between financial support and Infra factor had a positive influence on the firms' business activities, according to the result of the empirical test.

• Asian Journal of Innovation and Policy
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• 제7권1호
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• pp.103-130
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• 2018

It is generally understood that clusters are the promoters of innovation and therefore, the attention of researchers has been increasingly to discern the factors driving innovation among the firms in a cluster, especially in a high-tech cluster. In this study, we identify the variables capturing the nature of a firm that possibly impact the absorptive capacity of a firm and subsequently ascertain their impact on the degree of interactions between a firm, and other firms and associated institutions within and outside a cluster, respectively. Furthermore, we probe the influence of these interactions as a whole on firm-level innovation. The study was carried out in the context of Bengaluru, which houses the densely interconnected network of innovation-intensive high-tech manufacturing firms forming a high-tech manufacturing cluster. Data were drawn from 101 high-tech manufacturing firms belonging to electronics, machine tools, electrical and pharmaceutical industries. Based on the cluster analysis and subsequent graphical analysis on each of the three profiled clusters, it was found that size and origin of a firm have significant impact on the degree of firm's interactions. In turn, higher dynamism of firms in terms of degree of interactions led to higher innovation performance.

• 한국콘텐츠학회논문지
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• 제11권12호
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• pp.145-151
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• 2011

본 연구에서는 한국 온라인 게임 콘텐츠 시장에 대해 장르적 구분에 의거한 경쟁 구조를 가정하고, 장르에 따라 분류된 하부시장 내에서 각각 다르게 나타나는 경쟁 유형을 분석하였다. 먼저 장르별 1, 2위 게임 콘텐츠들의 시장지배력을 분석하기 위하여, 장르 내에서의 플레이타임 점유율과 표준편차 통계량을 활용하여, 장르별 ANOVA분석 및 Cluster 분석을 수행하였다. ANOVA 분석 결과에 따르면, 장르별 1위 게임의 점유율에서 'FPS/레이싱 > RTS/스포츠 > 포커 > 고스톱 > RPG > 아케이드 > 보드'의 관계가 있었고, 1위와 2위 게임의 플레이타임 합계 점유율에서는, 'RTS > FPS/레이싱 > 스포츠 > RPG > 고스톱 > 포커 > 아케이드 > 보드'의 관계가 확인되었다. 그 밖에 Cluster 분석에서는 시장지배적 성향의 강한 정도와 그 변동성이 유사한 수준에 있는 장르들의 군집을 구분하여 제시하였다.

• 한국과학교육학회지
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• 제25권3호
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• pp.321-326
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• 2005

본 연구는 군집 분석을 통해 학생들의 복합적인 성취 목적 양식을 확인하고, 이것이 학습 전략(심층적/피상적)과 과학 성취도에 미치는 영향을 조사하였다. 성취 목적(과제 지향/수행 지향/수행 회피)에 대해 군집 분석을 실시한 결과, '과제 지향 목적이 높은 집단(군집 1)'. '과제 지향 목적과 수행 지향 목적이 모두 높은 집단(군집 2)', '과제 지향 목적과 수행 지향 목적이 모두 낮은 집단(군집 3)'으로 구분되었다. 일원 변량 분석 결과, 심층적 학습 전략에서 군집 2의 평균이 군집 1과 군집 3보다 유의미하게 높았으며, 과학 성취도에서 군집 1과 군집 2의 평균이 군집 3보다 유의미하게 높은 것으로 나타났다. 피상적 학습 전략에서는 군집 3의 평균이 군집 1과 군집 2보다 유의미하게 높았다. 본 연구 결과에 대한 교육적 함의를 논의하였다.

• 한국조경학회지
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• 제43권4호
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• pp.112-123
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• 2015

본 연구의 목적은 비오톱 유형화 방법분석, 우점 비오톱 유형분석, 도시별 인문 자연 환경적 특성분석 및 군집분석을 통해, 국내 도시 비오톱 유형 특성을 분석하고, 전국적으로 적용 가능한 국내 도시 비오톱 유형 체계를 설정해 보는데 가장 큰 의의를 두었다. 연구결과를 요약하면 다음과 같다. 먼저 비오톱 유형화 방법 분석 결과, 분류기준 및 분류위계에서 도시마다 차이를 보이고 있었다. 다음으로 우점 비오톱 유형 분석 결과, 대부분의 도시에서 가장 많은 면적을 차지하고 있는 유형은 산림인 것으로 나타났다. 도시별 특성분석 결과, 도시들마다 상이한 결과를 보이고 있었으며, 군집분석 결과, 도시들은 총 5개의 군집으로 분류되었다. 먼저 Cluster-A의 경우, 낮은 인구수 및 도시화 현황을 보이고 있었다. 또한 타 도시와는 달리 농경지의 면적비율이 가장 높게 나타났다. 더불어 Cluster-C의 경우, 매우 높은 도시화 현황 및 인구수를 가지고 있었으며, 이러한 특성을 바탕으로, '산림 비오톱 중심의 광역형 도시(Large-sized metropoilitan cities-center of forest biotope area)' 군집으로 명명하였다. 이상과 같은 본 연구의 결과는 기존 비오톱 지도의 수정 및 보완 그리고 새로운 비오톱 지도 작성 시 표준화된 비오톱 유형 체계를 바탕으로 혼란을 최소화함은 물론, 도시 특성에 맞는 유형의 세분화 및 보전이 가능하도록 하는데, 중요한 역할을 수행할 수 있을 것으로 판단된다.

• 한국정보전자통신기술학회논문지
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• 제15권5호
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• pp.308-314
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• 2022

본 연구는 국내에 출원된 헬스케어 특허의 기술 융복합 분석에 관한 것으로 사회 연결망 분석(Social Network Analysis)을 이용하여 핵심 기술간 관계를 시각화하였다. 헬스케어 특허의 서브클래스 수준에서 복합 IPC 코드를 가지는 특허는 1,155건(49.4%)으로 조사되었고, 이를 대상으로 사회 연결망 분석을 실시한 결과 연결 중심성이 가장 큰 IPC 코드는 A61B, G16H, G06Q 순이고, 매개 중심성이 가장 큰 IPC 코드는 A61B, G16H, G06Q 순이다. 또한 헬스케어 특허는 두 개의 큰 기술 집합(Cluster)으로 구성되어 있다는 것을 확인할 수 있었다. Cluster-1은 A61B와 G16H 및 G06Q를 중심으로 헬스케어 인포매틱스 관련 기술을 이용한 진단, 수술 등 관련 비즈니스 모델에 해당하고, Cluster-2는 H04L과 H04W 및 H04B로 구성된 디지털 통신 기반의 헬스케어 사물인터넷 기술이다. 헬스케어 특허의 기술 융복합 핵심 쌍은 Cluster-1에서 [G16H-A61B]와 [G16H-G06Q] 이고, Cluster-2에서는 [H04L-H04W] 이다. 본 연구는 헬스케어 특허의 기술 개발 동향과 앞으로의 특허 출원에 기여할 수 있다.