• 한국버섯학회지
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• 제7권3호
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• pp.98-104
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• 2009

인공재배된 만가닥버섯(Hypsizygus mamoreus)과 잿빛 만가닥버섯(Lyophyllum decastes)을 ITS $I{\cdot}IV$ 부위의 염기서열에 의해 종속간 유연관계 및 RAPD 다형성을 분석하였다. ITS $I{\cdot}IV$영역부위 종속간 유연관계에서 Group1 (SPA 100, 101, 102)은 만가닥버섯에 속하였으며, Group2 (11균주) 잿빛만가닥버섯의 대조 분리군 11균주는 동일한 종으로 동정되었다. ITS결과 14개 균주 시 4개 그룹으로 분류되었으며, Cluster I과 Cluster II는 58%의 유사도를 Cluster III과 Cluster IV는 41%의 유사성을 보였다. 또한 인공 재배한 잿빛만가닥버섯의 종 다양성을 분석하기위해 RAPD를 수행한 결과 가장 수량이 양호하며 우량계통인 SPA 202는 잿빛만가닥버섯인 Lyophyllum decastes SPA 203과 그룹화 되었으며 75%의 유사성을 보여주었고, Lyophyllum decastes 공시균주인 SPA 103과 SPA 104의 유사성은 65%로 나타났다.

• 약학회지
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• 제42권6호
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• pp.627-633
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• 1998

Impurity profiling analysis of methamphetamine seized in Korea was investigated for the evidential and intelligent purpose. Samples were extracted with ethylacetate which contai ns internal standard of dioctylsebacate under basic condition and extracts were analyzed by GC-FID. Ephedrine, chloroephedrine & 1,2-dimethyl-3-phenylaziridine were identified impurities in illicit methamphetamine by GC-MS. These impurities revealed that most of abused methamphetamine in Korea were synthesized from ephedrine as a starting material. For the classification of samples. firstly, 24 impurity peaks were selected after inspection of every peak in 50 samples as the specific markers of impurities. Secondly, corresponding peak retention time and area ratio to the internal standard were calculated and database was created with values of 24 peaks by in-house program. Finally, cluster analysis was attempted with the resultant profiles using the STAR plot, which was based on the Euclidian distance for evaluating similarity among samples. A total of 76 samples were divided into 8 different groups within 90% statistical similarity and inter-batch samples showed similar impurity patterns by this procedure. In conclusion, the analysis of impurities is a suitable index for estimation the common or different origin of methamphetamine sample.

• 환경생물
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• 제31권3호
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• pp.225-231
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• 2013

동해안의 암반조간대 무척추동물상의 분포 특성을 연구하기 위하여 독도를 비롯한 울릉도, 경상북도의 경주, 포항, 영덕, 울진 그리고 강원도 등 총 19개 정점의 암반 조간대무척추동물상을 조사하여 출현종의 유사도를 공통종의 출현비율 (%)과 Bray-Curtis similarity matrix를 이용한 집괴분석과 MDS를 이용하여 분석하였으며 SIMPER를 이용하여 독도와 그 외의 동해안 암반저서 무척추동물의 특징종을 선출하였다. 공통종의 출현비와 집괴분석결과, 가장 가까이 위치한 울릉도를 제외하면, 경상북도의 영덕이 가장 높은 유사도를 보였으나, 전체적으로 독도 암반저서생태계는 다른 동해안 연안과 차이를 보인 것으로 나타났다.

• Asian Journal of Business Environment
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• 제7권1호
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• pp.25-29
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• 2017

Purpose - In this paper, we categorize and segment the 28 national universities in South Korea and measure the degree of dissimilarity (or similarity) between pairs of ones by using dissimilarity distance matrix and cluster analysis, respectively, based on the seven quantitative evaluation of educational conditions (percentage of small-scale courses, percentage of lecture by the faculty, collection of books per student, material purchase per student, percentage of building capacity, percentage of real estate capacity and rate of accommodation) in 2015. In addition, multidimensional scaling (MDS) techniques can obtain visual representation for exploring patterns of proximities among 28 national universities based on seven attributes of educational conditions. Research design, data, and methodology - This work is carried out by the 2015 Announcement of University Information, which is provided by Ministry of Education in South Korea and utilized by multivariate analyses with CLUSTER, PROXIMITIES and ALSCAL modules in IBM SPSS 23.0. Results - We make certain that 28 national universities can be categorized into five clusters which have similar traits by applying two-stage cluster analysis. MDS is utilized to perform positioning of grouped places of cluster and 28 national universities joining every cluster. Conclusions - Both types and traits of each national university can be relatively assessed and practically utilized for each university competitiveness based on underlying results.

• 한국육종학회지
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• 제41권4호
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• pp.444-450
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• 2009

본 연구는 배 유전자원의 유전적 변이를 DNA 수준에서 비교함으로써 육종의 기초 자료로 활용하기 위하여 유전자원 60점을 대상으로 AFLP 분석을 수행하였다. 총 20종의 AFLP 프라이머 조합을 이용하여 522개의 다형성 밴드를 얻었다. 획득된 다형성 밴드를 이용하여 UPGMA 방식으로 유사도 및 집괴분석을 수행한 결과 유전적 유사도 0.691를 기준으로 4개의 그룹으로 분류되었다. 첫 번째 그룹에는 Pyrus communis에 속하는 품종 및 P. nivalis, P. cordata 등이 포함되었다. P. betulaefolia와 P. fauriei에 속하는 콩배 계통들이 두 번째 그룹에 속하였고, P. calleryana와 P. koehnei를 포함한 콩배 계통들이 세 번째 그룹으로 분류되었다. 네 번째 그룹에는 P. pyrifolia와 P. ussuriensis에 속하는 재배품종, 교잡종 및 그 외의 종들이 대부분 속하여 동아시아에서 유래한 유전자원들은 P. pyrifolia나 P. ussuriensis와 서로 밀접히 연관되어 있음을 확인할 수 있었다. 유전자원 간 유전적 유사도는 0.584에서 0.879범위로 평균 유전적 유사도는 0.686이었다.

• 한국자원식물학회지
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• 제19권6호
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• pp.716-720
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• 2006

The genetic diversity among the genus Viola was evaluated using the random amplified polymorphic DNA (RAPD) method. A total of 142 distinct amplification fragments by 18 random primers were scored to perform the cluster analysis with UPGMA. Viola species from the subsection Patellares were clustered into group I to IV. The groups from I to IV were consistent with its morphological taxonomy, series Pinnatae, Chinensis, Variegatae, and Patellares in the subsection Patellares, respectively. Even though V. albida and V. albida var. takahasii were classified in Chinensis, they were assigned into group I. The cluster analysis separated other subsections from Patellares in the section Nomimium. Interestingly, V. verecunda and V. grypoceras in subsections Biobatae and Trigonocarpae, respectively, were clustered into group C with a high similarity coefficient. Therefore, RAPD analysis can be used for providing an alternative classification system to identify genotypes and morphological characters of Viola species.

• Journal of the Korean Data and Information Science Society
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• 제21권6호
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• pp.1353-1359
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• 2010

Basic objective in cluster analysis is to discover natural groupings of items. In general, clustering is conducted based on some similarity (or dissimilarity) matrix or the original input data. Various measures of similarities between objects are developed. In this paper, we consider a clustering of huge categorical real data set which shows the aspects of time-location-activity of Korean people. Some useful similarity measure for the data set, are developed and adopted for the categorical variables. Hierarchical and nonhierarchical clustering method are applied for the considered data set which is huge and consists of many categorical variables.

• Journal of the Korean Data and Information Science Society
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• 제20권6호
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• pp.1207-1212
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• 2009

Basic objective in cluster analysis is to discover natural groupings of items or variables. In general, clustering is conducted based on some similarity (or dissimilarity) matrix or the original input text data. Various measures of similarities (or dissimilarities) between objects (or variables) are developed. We introduce a real application problem of clustering procedure in SPSS when the distance matrix of the objects (or variables) is only given as an input data. It will be very helpful for the cluster analysis of huge data set which leads the size of the proximity matrix greater than 1000, particularly. Syntax command for matrix input data in SPSS for clustering is given with numerical examples.

• Communications for Statistical Applications and Methods
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• 제12권1호
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• pp.191-197
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• 2005

Application of data mining techniques to the world wide web, referred to as web mining, has been the focus of several recent researches. With the explosive growth of information sources available on the world wide web, it has become increasingly necessary to track and analyze their usage patterns. In this study, we introduce a process of pre-processing and cluster analysis on web log data and suggest a distance measure considering the structural relationships between web contents. Also, we illustrate some real examples of cluster analysis for web log data and look into practical application of web usage mining for eCRM.

• 원예과학기술지
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• 제31권3호
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• pp.322-327
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• 2013

The genetic diversity and phylogenetic relationships of eleven herbaceous peonies grown in Korea were analyzed by random amplified polymorphic DNA (RAPD). Twenty-four decamer RAPD primers were used in a comparative analysis of these Korean peony species. Of the 142 total RAPD fragments amplified, 124 (87.3%) were found to be polymorphic. The remaining 18 fragments were found to be monomorphic (12.7%) shared by individuals of all 11 peony species. Cluster analysis based on the presence or absence of bands was performed by Jaccard's similarity coefficient, based on Unweighted Pair Group Method with Arithmetic Averages. Genetic similarity range was 0.39 to 0.90 with a mean of 0.64. This study offered a rapid and reliable method for the estimation of variability among different peony species which could be utilized by the breeders for further improvement of the local peony species. Also, the results propose that the RAPD marker technique is a useful tool for evaluation of genetic diversity and relationship amongst different peony species.