• Journal of the Korean earth science society
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• v.22 no.2
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• pp.138-146
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• 2001

The land cover over Korean peninsula was classified using a multi-temporal NOAA/AVHRR (Advanced Very High Resolution Radiometer) data. Four types of phenological data derived from the 10-day composited NDVI (Normalized Differences Vegetation Index), maximum and annual mean land surface temperature, and topographical data were used not only reducing the data volume but also increasing the accuracy of classification. Self organizing feature map (SOFM), a kind of neural network technique, was used for the clustering of satellite data. We used a decision tree for the classification of the clusters. When we compared the classification results with the time series of NDVI and some other available ground truth data, the urban, agricultural area, deciduous tree and evergreen tree were clearly classified.

• Korean Journal of Environment and Ecology
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• v.26 no.5
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• pp.758-769
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• 2012

This study is aimed at analyzing the structural characteristics of vegetation in the Sangwonsa(Temple) valley, Yongmunsan(Mt.), and to collect basic data for research of large mountains which are located in the temperate, central region. The research on the entire vegetation struc trees are distributed over a wide area, accounting for 75.0% of theture of Sangwonsa(Temple) valley observed that oak total vegetation in the area. We examined 17 plots(unit area: $400m^2$) in the deciduous forest, dividing the trees into 5 community types based on the average important value. The 5 community types are as follows: A mixed dominant group of Carpinus laxiflora and Quercus serrata, a mixed dominant group of Quercus serrata and Quercus variabilis, a mixed dominant group of Quercus mongolica and Quercus serrata, a dominant group of Quercus serrata, a dominant group of Acer pictum supsp. mono. It is expected that the oak trees competing with Carpinus laxiflora and Acer pictum supsp. mono would flourish in a deciduous forest. The Shannon's species diversity index(H') was 0.3708~1.3083.

• The Korean Journal of Applied Statistics
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• v.24 no.6
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• pp.1213-1224
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• 2011

In high dimensionality where the number of variables are excessively larger than observations, it is required to remove the noninformative variables to cluster observations. Most model-based approaches for variable selection have been considered under the assumption of homoscedasticity and their models are mainly estimated by a penalized likelihood method. In this paper, a different approach is proposed to remove the noninformative variables effectively and to cluster based on the modified normal mixture model simultaneously. The validity of the model was provided and an EM algorithm was derived to estimate the parameters. Simulation studies and an experiment using real microarray dataset showed the effectiveness of the proposed method.

• Journal of Korea Multimedia Society
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• v.14 no.9
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• pp.1182-1189
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• 2011

We named the system Visual Path Map which visualizes the distribution of clusters according to characteristics and entire process about exercise prescription, and we purpose to visualize a process according to exercise prescription. Visual Path Map visualizes the distribution of clusters according to characteristics, current and object distribution, and changed distribution for prescription. So it visualizes paths from current distribution to object distribution according to prescription. We used SOM in order to express properties along subjects in Visual Path map, and visualized distribution of clusters about physical characteristics, body mass index, and age information of 1,500 ordinary people. Also we visualize practical exercise prescription according to real data of expert of exercise prescription.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.37-44
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• 2006

본 연구는 모바일기기 사용자들의 특성을 알아보고자 사용자들의 모바일기기 휴대의도에 영향을 미치는 변수들을 기준으로 사용자들을 세분화 하였다. 선행문헌연구를 통해 휴대의도에 영향을 미치는 변수들로 유용성, 즐거움, 불안감과 사회적 영향인 주관적 규범, 가시성, 이미지, 자발성 등을 도출하였다. 자료수집을 위해 서울 및 수도권에 거주하고 휴대폰이나 노트북, PDA등을 소유한 대학생 및 대학원생과 직장인들을 대상으로 설문조사를 실시하였다. 휴대의도의 영향변수 분석결과 불안감과 주관적 규범이 휴대의도에 유의한 양의 영향을 미치는 것으로 검증되었다. 이를 기준변수로 군집분석을 통해 전체 표본을 네 집단으로 세분화 하였다. 세분화 결과 군집 1은 주관적 규범만이 영향을 미치는 집단으로 전체응답의 36.25%를 차지하고 있으며, 군집 2는 불안감만이 영향을 미치는 집단으로 전체 응답의 13.44%를 구성하는 것으로 나타났다. 군집 3은 불안감과 주관적 규범 모두 영향을 미치지 않는 집단으로서 전체 응답에서 19.06%를 차지하고 마지막으로 군집 4는 불안감과 주관적 규범 모두 영향을 미치는 집단으로 전체응답의 31.25%를 구성하는 것으로 나타났다.

• Korean Journal of Environment and Ecology
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• v.14 no.4
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• pp.287-295
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• 2001

계룡산국립공원 자연보존지구 천연림의 군집구조를 정확히 파악하여 앞으로의 식생관리에 있어서 기초자료를 마련하고자 34개 방형구(10m$\times$10m)를 설치하여 식생을 조사하였다. Cluster 분석 결과 조사대상지는 활엽수혼효림군집, 신갈나무-쪽동백나무군집 및 신갈나무-소나무군집으로 나뉘어졌다. 수종간의 상관관계에서는 신갈나무와 개옻나무; 까지박달나무와 층층나무; 쪽동백나무와 상수리나무; 비목나무와 느티나무, 고로쇠나무; 느티나무과 고로쇠나무, 참회나무; 쇠물푸레나무와 조록싸리, 노린재나무, 산딸기나무, 굴참나무 및 소나무; 고추나무와 상수리나무, 산뽕나무; 진달래와 개옻나무; 산철쭉과 굴참나무, 소나무, 상수리나무; 굴참나무와 소나무; 상수리나무와 병꽃나무; 고로쇠나무와 산뽕나무; 물푸레나무와 산뽕나무; 바위말발도리와 산뽕나무등의 종들간에는 정의 상관관계가 인정되었고, 신갈나무와 까지박달나무; 신갈나무와 층층나무; 노린재나무와 쪽동백나무등의 종들간에는 부의 상관관계가 인정되었다. 환경인자와 상관에서 쪽동백나무와 진달래는 해발고와 부의 상관이 인정되었으며, 사면의 방위와는 산딸기가 부의 상관이 인정되었다. 본 조사지의 종다양도는 1.4592~1.2917로 비교적 높은 편이었다.

• 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 Industrial Convergence
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• v.19 no.4
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• pp.9-15
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• 2021

The purpose of the study is to find out the difference between high school students' hopes and the school happiness of each cluster of grits. Method: 282 high students' responses were analyzed through correlation analysis and cluster analysis. Results: First, There is a positive correlation between hope and grit and school happiness. Second, Hope and Grit appeared in four clusters. School happiness had the highest "high psychological capital" group and the lowest "low psychological capital. Conclusion: It was discussed that the agency thinking and effort perseverance of grit should be reflected in the curriculum of general high schools. In addition, we propose to develop questionnaires for practical measurements.

• Proceedings of the Korean Statistical Society Conference
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• 2005.05a
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• pp.167-171
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• 2005

마이크로어레이자료의 분석에 있어서 주성분 자기조직도(principal component SOM)의 유용성을 알아보고, 흔히 사용되는 다른 군집분석방법과 비교하였다. 또한 MST(minimal spanning tree)를 이용하여 주성분자기조직도 결과의 적합성을 알아보았다.

• Journal of the Korean Data and Information Science Society
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• v.20 no.2
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• pp.311-319
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• 2009

A robust L1 data depth was used in clustering and classification, so called DDclus and DDclass by Jornsten (2004). SVM-based classification works well in most of the situation but show some weakness in the presence of outliers. Proper gene selection is important in classification since there are so many redundant genes. Either by selecting appropriate genes or by gene clustering combined with classification method enhance the overall performance of classification. The performance of depth based method are evaluated among several SVM-based classification methods.