• Korean Journal of Environment and Ecology
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• v.10 no.2
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• pp.251-269
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• 1997

To investigate the plant community structure of Chohangyoung valley in Soraksan National Park, thirty nine plots(each size was 100m$^{2}$) were set up and surveyed and to analyze the plant community characteristics of valley area and slope area, twenty five plots in five sites were set up and surveyed. According to DCA ordination techniques, the communities were six divided into community types, which were Pinus densiflora community, P. densiflora-Populus maximowiczii community, Po. maximowiczii-P. densiflora community, Po. maszimowiczii community, Fraxinus rhyuchophylla community, Quercus serrata community. Q. serrata community was only distrivuted at slope area and the others were distributied at valley area. The successional trend of six communities was not clearly inferred. Shannon's diversity was 0.9458~1.1769(unit area:500m$^{2}$), and soil acidity was pH 4.65~6.09 in surveyed areas. According to the belt-transect analysis, the dominant species of valley area were P. densiflora, Po. maximowiczii, but the dominant species of slope area was Q. serrata.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.797-798
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• 2009

군집화는 대용량의 데이터로부터 유용한 정보를 추출하는 데에 적합한 데이터마이닝 기법들 중 하나이다. 군집화 기법은 주어진 데이터그룹 내에서 사전정보 없이 의미있는 지식을 발견할 수 있으므로 큰 어려움이 없이 실제 응용분야에 적용할 수 있다. 또한, 대용량 데이터를 다룰 때에 개별적인 데이터에 대한 접근 횟수를 줄이고, 알고리즘이 다루어야 할 데이터 구조의 크기를 줄일 수 있다. 본 논문에서는 밀도-기반 군집화 기법을 기반으로 하는 새로운 군집화 기법을 제안한다. 우리가 제안하는 군집화 기법은 반복적인 군집화 과정을 통하여 군집 내 주변 잡음을 제거하고 더 세밀하게 집단을 세분화하는 것이 가능하다. 또한, 군집을 표현하는 데에 계층구조로 나타내어 각 군집의 상관관계를 파악하는 데에 유리하다. 본 논문에서 제안하는 군집화 기법을 통하여 다양한 밀도를 가진 군집들을 효과적으로 분류할 수 있을 거라고 기대된다.

• Korean Journal of Environment and Ecology
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• v.17 no.4
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• pp.324-336
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• 2004

This study was achieved to present ecological administration plan by analyzing vegetation structure and condition rating class(environmental damage degree) of Sangnim Woods Natural Monument in Hamyang-gun, Korea. In vegetation structure part, actual vegetation was classified by 22 patterns and Quercus serrata Carpinus tschonoskii community(31.8％), Quercus serrata community(14.6％) ranged extensively. Main plant community was 8 types, and is fractionated by 13 plant communities according to stratigraphy development degree it is Quercus serrata community, Quercus serrata Carpinus tschonoskii community, Quercus aliena community, Quercus acutissima community, Carpinus tschonoskii community, Carpinus tschonoskii Quercus serrata community, Zelkova serrata-Quercus serrata community, and Planted area with korean landscape woody plants. Age of old growth trees that diameter of breast height over 38cm was 61∼77years. In condition rating class, area of class 3 was 51,960$m^2$(32.8％), area of class 4 was 6,583$m^2$(3.5％), and area of class 5 was 4,086$m^2$(2.6％) and gross area of class 3∼6 need artificial restoration was 61,619$m^2$(38.9％). Considering actual vegetation, plant community structure, and condition rating class biotope was classified by total 14 types. While distribution area of Queens spp. old growth forest of shrub damaged(51,246$m^2$, 32.4％) and deciduous broad leaved old growth forest of simple-layer structure(19,906$m^2$, 12.6％) is large and that of deciduous broad-leaved old growth forest of multi-layer structure(2,085$m^2$, 1.3％) and Queens spp. old growth forest of multi-layer structure may have to manage with user control by administration plan for stabilization of Sangnim Woods ecosystem for long-term. Also, both vegetation of shrub damaged and simple-layer structure as negative restoration area should be restored for ecological succession and both grassland and planted area with korean woody plants as positive restoration area should be revegetated by using ecological planting model of native vegetation structure in Sangnim Woods.

• Korean Journal of Environment and Ecology
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• v.9 no.2
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• pp.133-146
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• 1996

This study was conducted to analyse plant community structure by the altityed and slope in Tongdaesan area, Odaesan National Park. Sixty-three plots(each plots size was 100m$^{2}$) were set up and PWINSPAN and DCA method were used for vegetational structure analysis. Division of community was cleared altitude than part of slope With increasing elevation the importance values of Quercus mongolica, Tilia amurensis increased, while those of Fraxinus mandshurica, Betula schmidtii, Cornus controversa decreased. Survey plots were divided into 6 groups by the TWINSPAN and DCA method. The divided groups are T. amurensis community(I), Q. mongolica community(II) of upper part of slope of east and west, Q. mongolica-T. amurensis community(III) of middle part of slope, Q. mongolica-F. mandshurica community(IV), Pinus densiflora-B. schmidtii-Carpinus laxiflora community(V) of low elevation of east, F. mandshurica-C. controversa community(VI)of low elevation of west. Also, vegetational change were showed slope of east and west in Tongdaesan except top area for the last twenty yeras.

• Proceedings of the Korea Society of Environmental Biology Conference
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• 2002.11a
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• pp.72-80
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• 2002

광양만 지역 수직군집구조는 최상부는 해조류가 거의 분포하지 않으며, 상층 하부부터 Ulva spp.가 우점하고 있으며, 저서동물은 최상부지역에는 따개비류가 우점하며, 하부로 갈수록 Oysters가 우점하였다. 그리고 층별군집구조는 상층부는 Biofilm이, 중ㆍ하층부는 Ulva spp.가 우점하며, 하층부로 갈수록 Turf algae의 밀도가 높다. 따개비류는 상층부와 중층부에서 우점하고 있으며, 중하층부로 갈수록 Oysters가 우점하며 총알고동은 상층부에서 중하부에서는 삿갓조개류의 밀도가 높았다. 남해 서상지역의 수직군집구조는 8월 조사결과 상부는 Brown crustose algae가 중부부터는 지층이, Ulva spp. 등이 하부에서는 유절산호조류, 개서실 등이 우점하였으며, 10월 조사에서 상부에는 해조류가 거의 발견되지 않았으며, 중부이하에서 지층이, 개서실, 유절산호조류 등이 하부에는 가시명불 등이 우점하였다. 저서동물은 말미잘, 삿갓조개류, 고둥류 등이 높이와 관계없이 균일한 밀도를 보였다. 그리고 층별군집구조는 상층부는 지층이, 무절산호조류 등이, 중층부는 개서실, ULva spp. 유절산호조류, 지층이 등이, 하층부는 개서실, 유절산호조류, 가실덤불 등이 우점하였다. 저서동물은 전층에서 따개비류, 말미잘 등이 우점하였다. 상주지역의 수직군집구조는 상부는 해조류가 거의 대부분 분포하지 않으며, 중부는 Biofilm, 우뭇가사리가, 하부에서는 지충이, 패, Brown crustose algae, 무절산호조류, 톳 등이 밀도가 높게 나타났다. 저서동물은 상부에는 총알고둥과 따개비류, 중ㆍ하부는 삿갓조개류, 말미잘이 우점하였다. 그리고 수평군집구조는 Biofilm이 상층부의 일부 지역에서 조사되었으며, 중층부는 Biofilm, Brown crustose algae, 무절산호조류, 패, 지층이 등이 우점하며, 하부는 지충이, 톳, 유절산호조류, 무절산호조류, Brown crustose algae 등이 우점하였다. 저서동물은 상층부는 총알고둥이 중층부는 삿갓조개류, 말미잘, 군부, 해면류가 하층부는 해면류, 삿갓조개류, 말미잘 등이 우점하였다.

• Korean Journal of Environment and Ecology
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• v.9 no.2
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• pp.166-181
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• 1996

This study was conducted to investigate the community structure of old-growth forest and vegetation-environment relationships in the Sangwonsa-Bironbong area, Odaesan National Park. TWINSPAN and DCA were used to identify and describe the community types for 45 sample sites. The results of DCA ordination showed that soil pH, soil organic matters and soil moisture played a role in determining community types in the study area. Community types of the study area were role in determining community types in the study area. Community types of the study area were classified into 6 groups by TWINSPAN; Abies holophylla-Carpinus koraiensis community. Each community types were significantly different in soil pH and soil organic matters. And each community types can be explained by geographical features.

• Korean Journal of Environment and Ecology
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• v.28 no.1
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• pp.45-54
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• 2014

This study was carried out to investigate the ecological succession sere and conservative value, and to provide the basic data in Woonsooam Valley, in Jogyesan (Mt.) (altitude 884m), Suncheon City, Korea by analysing the structure of the plant community. Fifteen plots (size is $20m{\times}20m$) were set up at an altitude of range from 255m to 495m. As a result of analysis of DCA which is one of the ordination technique, the plant communities were divided into five groups which are community I (Pinus densiflora community), community II (Quercus variabilis-Quercus serrata community), community III (Q. serrata-Q. variabilis community), and community IV (Carpinus tschonoskii-Q. serrata community) and community v(Deciduous broad-leaved forest community). We found out that the vegetation of the study site located in the South Temperate Climate Zone. The study site is found out that Q. serrata community 34.4%, part of slope in valley is the distribution that dominant species is Q. serrata-Q. variabilis community 32.1%. And in valley showed Carpinus tschonoskii community 5.5%. And Sasa borealis was dominant species in the shrub layer. We couldn't supposed that the ecological succession sere of the study site, however we should do a long-term monitoring to investigate the changes of the ecological succession each plant community, According to the index of Shannon's diversity (unit: $400m^2$), community III was ranged from 1.0102 to 1.1013, community V was 0.9945, community II was ranged from 0.7913 to 1.1503, community IV was ranged from 0.8081 to 1.0749 and community I was 0.9273.

• Korean Journal of Microbiology
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• v.47 no.3
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• pp.275-280
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• 2011

In order to evaluate the diversity and change of bacterial population during the manufacturing process of traditional soybean paste (doenjang), bacterial communities were analyzed using 16S rRNA gene-based pyrosequencing. In rice straw, the most important inoculum source for fermentation, the bacterial sequences with a relative abundance greater than 1% were assigned to four phyla, Proteobacteria (71%), Actinobacteria (20.6%), Bacteroidetes (4.2%), and Firmicutes (1.3%). Unlike bacterial community composition of rice straw, a different pattern of bacterial population in meju was observed with predominantly high abundance (99.1%) of Firmicutes. Phylum composition in young doenjang was almost same as that of meju. Major genera in young doenjang were Bacillus (81.3%), Clostridium (6.9%) and Enterococcus (6.3%) and the predominant species among bacterial population was B. amyloliquefaciens (63.6%). Abundance of the phylum Firmicutes in mature doenjang was 99.98%, which was even higher value than those in meju and young doenjang. Predominant species in mature doenjang were B. amyloliquefaciens (67.3%), B. atrophaeus (12.7%), B. methylotrophicus (6.5%), B. mojavensis (3.2%), and B. subtilis. (2.5%), which were also identified as major species of the microbial flora in meju. These results suggested that rice straw was a primary source for supplement of Bacillus species in manufacturing the traditional doenjang and that some species of Bacillus strains were mainly involved in the fermentation process of traditional doenjang.

• The Korean Journal of Applied Statistics
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• v.34 no.6
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• pp.905-922
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• 2021

Cluster analysis is one of unsupervised learning techniques used for discovering clusters when there is no prior knowledge of group membership. K-means, one of the commonly used cluster analysis techniques, may fail when the number of variables becomes large. In such high-dimensional cases, it is common to perform tandem analysis, K-means cluster analysis after reducing the number of variables using dimension reduction methods. However, there is no guarantee that the reduced dimension reveals the cluster structure properly. Principal component analysis may mask the structure of clusters, especially when there are large variances for variables that are not related to cluster structure. To overcome this, techniques that perform dimension reduction and cluster analysis simultaneously have been suggested. This study proposes probabilistic reduced K-means, the transition of reduced K-means (De Soete and Caroll, 1994) into a probabilistic framework. Simulation shows that the proposed method performs better than tandem clustering or clustering without any dimension reduction. When the number of the variables is larger than the number of samples in each cluster, probabilistic reduced K-means show better formation of clusters than non-probabilistic reduced K-means. In the application to a real data set, it revealed similar or better cluster structure compared to other methods.

• Journal of the Korean Society for information Management
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• v.29 no.2
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• pp.45-70
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• 2012

There have been many methods and algorithms proposed for multidimensional scaling to mapping the relationships between data objects into low dimensional space. But traditional techniques, such as PROXSCAL or ALSCAL, were found not effective for visualizing the proximities between objects and the structure of clusters of large data sets have more than 50 objects. The CLUSCAL(CLUster-oriented SCALing) technique introduced in this paper differs from them especially in that it uses cluster structure of input data set. The CLUSCAL procedure was tested and evaluated on two data sets, one is 50 authors co-citation data and the other is 85 words co-occurrence data. The results can be regarded as promising the usefulness of CLUSCAL method especially in identifying clusters on MDS maps.