• Journal of Intelligence and Information Systems
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• v.7 no.2
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• pp.35-49
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• 2001

Over the years, cluster analysis has become a popular tool for marketing and segmentation researchers. There are various methods for cluster analysis. Among them, K-means partitioning cluster analysis is the most popular segmentation method. However, because the cluster analysis is very sensitive to the initial configurations of the data set at hand, it becomes an important issue to select an appropriate starting configuration that is comparable with the clustering of the whole data so as to improve the reliability of the clustering results. Many programs for K-mean cluster analysis employ various methods to choose the initial seeds and compute the centroids of clusters. In this paper, we suggest a methodology to evaluate various clustering programs. Furthermore, to explore the usability of the methodology, we evaluate four clustering programs by using the methodology.

• Korean Journal of Environment and Ecology
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• v.10 no.2
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• pp.270-282
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• 1997

This investgation was performed to provide basic data for the management program of the Soraksan national park. Sixty plots were set up and surveyed in the Sinhungsa-Wasondae Area. The vegetation was divided into two communities, Pinus densiflora community and Quercus serrata community, according to the analysis of DCA ordination. It was found out that the succession of the Pinus densiflora comunity would proceed to Quercus serrata community of which components was dominant in understory layer and shrub layer. And it was found out that in the Quercus serrata community the Pinus densiflora being mainly big size in DBH would becomr dominant comtinuously. Shannon's diversity of both community were 1.2554 and 1.1134 respectively. The numbers of woody species per 100m$^{2}$ ranged 7 to 26, and the average number of woody species was 13.

• Journal of Intelligence and Information Systems
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• v.13 no.4
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• pp.17-34
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• 2007

Organizations have realized the importance of CRM. To obtain the maximum possible lifetime value from a customer base, it is critical that customer data is analyzed to understand patterns of customer response. As customer databases assume gigantic proportions due to Internet and e-commerce activity, data-mining-based market segmentation becomes crucial for understanding customers. Here we raise a question and some issues of using single SOM approach for clustering while proposing multiple self-organizing maps approach. This methodology exploits additional themes on the attributes that characterize customers in a typical CRM system. Since this additional theme is usually ignored by traditional market segmentation techniques we here suggest careful application of SOM for market segmentation.

• The Korean Journal of Ecology
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• v.19 no.4
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• pp.353-353
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• 1996

이 연구는 1988년 5월 초순부터 6월 중순까지 일본 북해도 대학 토마코마이 연습림에서 산림시업에 의한 산림구조가 다른 두 지역에서 산림환경구조와 번식조류군집과의 관계를 밝히기 위하여 이루어졌다. 조사지간의 차이를 밝히기 위한 정량적인 서식지분석과 조류군집을 평가하기 위한 세력권 도시법과 길드분석을 하였다. 우점수종은 신갈나무, 일본목련, 산벚나무, 고로쇠나무 등이었다. 임층의 피도는 상중층은 비간벌지가, 하층은 간벌지가 높았다. 조사지에서 34종의 조류가 관찰되었고 21종이 세력권을 확보하였다. 황금새, 산솔새, 박새, 섬참새, 동고비, 쇠박새가 우점종이었다. 조사지간에 번식조류의 종수는 동일하였으나 조류군집구성은 달랐다. 수동영소길드 조류 종수와 쌍수는 비간벌지에 많았으나, 지면영소길드 조류는 간벌지에서 많았다. 그리구 수관층영소길드는 조사지간에 유의한 차이가 없었다. 그러므로 적정한 간벌과 같은 산림시업은 모든 산림조류에 부적당한 것이 아니고 관목, 지면 영소길드와 나무와 관목, 지면채이길드에 유리한 것으로 생각되었다. 또 산림시업이 수동과 수관영소길드에 큰 영향을 미치지 않았다.

• The Journal of Korean Association of Computer Education
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• v.7 no.1
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• pp.151-165
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• 2004

The purpose of the study was to explore the potential of the Cluster Analysis and the Community Analysis of Social Network Analyses family in job-task analysis for curriculum design. These two multivariate analysis techniques were expected to bring us relevant and scientific information as well as inspiration in investigating the structure and nature of job system, which are critical in developing relevant curriculum. To pursue the purpose mentioned above, qualitative and quantitative data were collected from "S" Corporate, a major large high-tech manufacturing company, and analyzed by relevant analytic procedures. Results indicate that there are discrepancies between formal job structures and actual ones. Following Community analysis showed that the presence of center-marginal structure along with clustering structure in the current job formation. Interpretations of the results of the study are provided in light of past research and additional data collected from the study. Implications of the study are also discussed along with suggestions for future research.

• Korean Journal of Environmental Biology
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• v.22
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• pp.38-46
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• 2004

Effect of polycyclic aromatic hydrocarbons (PAHs) on the community structure of indigenous microorganisms in Gwangyang Bay sediments was investigated in Mar. & Aug.,2000. Microbial community structure was analyzed using 5'-terminal restriction fragment length polymorphism (T-RFLP) method. Microbial community structure based on T-RFLP method revealed that community differentiated by sampling period except station 1 located near the stream discharge site from Yeosu Industrial Complex. Even, microbial diversity was higher at stations showed relatively high concentrations of PAHs. The microbial community structure was severely changed during the enrichment culture with 1,000 ppm of PAHs mixture. It was also different between cultivated at 8$^{\circ}C$ and 30$^{\circ}C$. The results implied that temperature, poyosity, organic content and etc were more responsible than PAHs on the microbial community structure.

• Korean Journal of Environment and Ecology
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• v.13 no.1
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• pp.61-69
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• 1999

본 연구는 치악산국립공원에 위치하는 성황림의 산림군집구조를 분석하기 위해 20개의 조사구를 성황림의 평지림과 사면림에 설정하고 조사하였다. 성황림의 산림군집은 졸참나무 - 복자기나무군집과 고로쇠나무 - 층층나무군집으로 분리되었다. 평지림의 졸참나무군집으로 분리되었다. 평지림의 졸참나무 - 복자기나무군집으로 복자기나무 - 졸참나무군집으로 천이가 진행될 것이라 판단되며, 사면림의 고로쇠나무 - 층층나무군집으로 그대로 유지될 것으로 예측된다. 수종간의 상관관계에서는 느릅나무와 으름덩굴.복자기나무.줄딸기, 복자기나무와 으름덩굴, 회잎나무와 졸참나무, 참회나무와 국수나무 등의 수종들 간에는 아주 높은 정의 상관관계를 보여 동질적인 지위(niche)를 갖는 것으로 나타났다. 그러나, 산뽕나무와 쪽동백나무, 복자기나무와 쪽동백나무.당단풍 등의 수종들 간에는 비교적 높은 부의 상관관계를 보여 이질적인 지위를 갖는 것으로 나타났다. 본 조사지의 종다양도는 1.2303~1.2741로 높은 종다양성을 보였다.

• The Korean Journal of Applied Statistics
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• v.17 no.3
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• pp.535-545
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• 2004

The clustering method suggested in this paper produces clusters based on the 'rules of variables' by merging the 'training' and the identically structured reference data and then by filtering it to obtain the clusters of the 'training data' through the use of the 'tree classification model'. The reference dataset is generated by spatially contrasting it to the 'training data' through the 'reverse arcing' algorithm to effectively identify the clusters. The strength of this method is that it can be applied even to the mixture of continuous and discrete types of 'training data' and the performance of this algorithm is illustrated by applying it to the simulated data as well as to the actual data.

• Korean Journal of Environment and Ecology
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• v.6 no.2
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• pp.134-146
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• 1993

A survey of the Chundong valley forest in Mt. Sobaek was conducted using 20 sample plots of 500$m^2$ size. The classification by TWINSPAN and DCA, CCA ordination techniques were applied to the study area in order to classify them into several groups based on woody plants and environmental variables. By TWINSPAN techniques, the plant community were divided into four groups. The dividing groups are Pinus densiflora community, Qurcus variabilis -Q. mongolica -P. densiflora community, Fraxinus rhynchophylla community. The successional trends of tree species by DCA ordination techniques and DBH class distribution analysis seems to be from P. densiflora through Q. mongolica. Q. variabilis to F rhynchophylla. The correlation between the score of first two axes and soil pH, soil humus, soil calcium concentration, soil magnesium concentration was significantly positive in CCA ordination. The positive correlation between the score of first two axes of F. rhynchophylla community and soil humus, soil magnesium concentration and between ones of P. densiflora community and soil pH were calculated. But there is no correlation between species and environmental variables.

• 한국해양학회지
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• v.23 no.1
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• pp.1-12
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• 1988

To clarify the community structure of phytoplankton in the Kyeonggi Bay, the community analysis were performed to investigate the relationship between the environmental factors and the phytoplankton communities. Low diversity with occurrence of few dominant species throughout the year, except summer, implies that ecological environment of this study area is very unstable due to incessant physical perturbation and large fluctuation of other environmental factors. According to the results of the cluster analysis this study area could be divided into river discharge, polluted and unpolluted area. Principal component analysis of overall phytoplankton community in this area clearly showed four seasonal succession patterns grouped into the spring type, the summer type, the late summer type, the late autumn-winter type. Summer communities composed of common phytoplankton are highly correlated with temperature and transparency. Winter communities composed of most tychopelagic plankton are positively correlated with suspended substances and nutrient, while negatively correlated with transparency.