• Title/Summary/Keyword: 계층적 군집법

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A Study on the User Segmentation Analysis through POSA method (POSA 분석을 통한 소비자 유형 분류에 관한 연구)

  • Kim, Tae-Kyun
    • 한국HCI학회:학술대회논문집
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    • 2006.02b
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    • pp.252-257
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    • 2006
  • 기본적으로 모든 소비자들은 조금씩 다르며, 제품은 그 차이를 극대화 시킴으로써 다양한 소비를 촉진하게 된다. 이와 같은 시장 세분화와 포지셔닝 전략은 디자인 경영에 있어 매우 중요한 전략적 단계라 할 수 있으며, 기업의 소비자 분석의 목적이기도 하다. 다차원 척도법은 군집 분석에서와 마찬가지로 자료에 내재된 구조를 찾아내어 자료를 함축적으로 표현하고자 하는 자료축약형 다변량 분석 기법이다. 패턴 분류의 수량화를 이용하는 POSA(Partial Order Scalogram Analysis)는 MSA(Multidimensional Scalogram Analysis)의 구조화된 방법으로 디자인 전략을 수립하는 단계에서 소비자의 성향을 보다 세분화할 수 있다. 본 논문에서는 디자인 리서치 단계에 POSA 방법론을 적용하였을 때 소비자 유형 분류가 가능하다고 보고, 창의적 디자인 컨셉의 도출에 어느 정도 역할을 하는지 알아보고자 함을 목적으로 하였다. 본 연구에서는 부분적 계층 분석법인 POSA 분석방법을 통하여 사용자의 계층을 세분화하는 방법을 고안하고, 이를 분석함으로써 소비자의 유형을 분류하여 디자인 포지셔닝과 방향을 제시하는 방법론을 제안하고자 하였다. 이를 위하여 설문조사를 통하여 POSA 기법을 이용한 소비자 유형 분류 방법이 고안되었고, 이를 기반으로 모바일 기기를 위한 프로젝트에 실제 디자인 사례로 적용되었으며, 이러한 소비자 유형 분석을 통하여 타겟 유저의 시나리오 작성 단계에서 창의적 발상을 지원한다는 점을 발견할 수 있었다.

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The Classification of Forest Cover Types by Consecutive Application of Multivariate Statistical Analysis in the Natural Forest of Western Mt. Jiri (다변량 통계 분석법의 연속 적용에 의한 서부 지리산 천연림의 산림 피복형 분류)

  • Chung, Sang Hoon;Kim, Ji Hong
    • Journal of Korean Society of Forest Science
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    • v.102 no.3
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    • pp.407-414
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    • 2013
  • This study was conducted to classify forest cover types using the multivariate statistical analysis in the natural forest of western Mt. Jiri. On the basis of the vegetation data by point quarter sampling, the adopted analytical methods were species-area curve (SAC), hierarchical cluster analysis (HCA), indicator species analysis (ISA), and multiple discriminant analysis (MDA). SAC selected the outlier tree species which was likely to have no influence on the classification of forest cover types, excluded from all analytical process. Based on forest vegetative information, HCA classified the study area into 2 to 10 clusters and ISA indicated that the optimal number of clusters were seven. MDA was taken to test the clusters that classified with HCA and ISA. The seven clusters were classified appropriately as overall classification success were 91.3%. The classified forest cover types were named by the ratio of the dominant species in the upper layer of each cluster. They were (1) Quercus mongolica Pure forest, (2) Mixed mesophytic forest, (3) Q. mongolica - Q. serrata forest, (4) Abies koreana - Q. mongolica forest, (5) Fraxinus mandshurica forest, (6) Q. serrata forest, and (7) Carpinus laxiflora forest.

A Study on the Site Selection of Public Libraries Using Analytic Hierarchy Process Technique and Geographic Information System (계층분석법과 지리정보시스템을 이용한 공공도서관 입지선정에 관한 연구)

  • Park, Sung-Jae;Lee, Jee-Yeon
    • Journal of the Korean Society for information Management
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    • v.22 no.1 s.55
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    • pp.65-85
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    • 2005
  • This study proposes a new site selection model which reflects integrated opinions of several groups and identifies sites through objectivity of selection procedure. The proposed model consists of two parts, Analytic Hierarchy Process(AHP) and Geographic Information(GIS). This model was applied to Seocho-gu in Seoul. First, library site selection criteria were determined through literature study. Hierarchical relationship based on the questionnaire was determined and refined to be suited to Seocho-gu case. A survey was conducted with three groups, namely, library users, librarians, and public worker. A few inconsistent answers to the survey questionnaire were excluded and the relative importance of each criterion was measured. Next, an overlay method was used and the relative importance was used as a weight for selecting candidates. This process excluded the areas where a library was unable to be built, for example, rivers, military areas, other restricted areas by law, etc. and resulted in seventy-five sites. Five groups of candidates were identified according to the similarity of criteria. Finally, four groups, after eliminating one lowly fitted group, were determined.

Classification of Terrestrial LiDAR Data Using Factor and Cluster Analysis (요인 및 군집분석을 이용한 지상 라이다 자료의 분류)

  • Choi, Seung-Pil;Cho, Ji-Hyun;Kim, Yeol;Kim, Jun-Seong
    • Journal of Korean Society for Geospatial Information Science
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    • v.19 no.4
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    • pp.139-144
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    • 2011
  • This study proposed a classification method of LIDAR data by using simultaneously the color information (R, G, B) and reflection intensity information (I) obtained from terrestrial LIDAR and by analyzing the association between these data through the use of statistical classification methods. To this end, first, the factors that maximize variance were calculated using the variables, R, G, B, and I, whereby the factor matrix between the principal factor and each variable was calculated. However, although the factor matrix shows basic data by reducing them, it is difficult to know clearly which variables become highly associated by which factors; therefore, Varimax method from orthogonal rotation was used to obtain the factor matrix and then the factor scores were calculated. And, by using a non-hierarchical clustering method, K-mean method, a cluster analysis was performed on the factor scores obtained via K-mean method as factor analysis, and afterwards the classification accuracy of the terrestrial LiDAR data was evaluated.

An Application of FCM(Fuzzy C-Means) for Clustering of Asian Ports Competitiveness Level and Status of Busan Port (FCM법을 이용한 아시아 항만의 경쟁력 수준 분류와 부산항의 위상)

  • 류형근;이홍걸;여기태
    • Journal of Korean Society of Transportation
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    • v.21 no.5
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    • pp.7-18
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    • 2003
  • Due to the changes of shipping and logistic environment, Asian ports today face severe competition. To be a mega-hub port, Asian ports have achieved a big scale development. For these reasons, it has been widely recognized as an important study to analyze and evaluate characteristics of Asian ports, from the standpoint of Korea where Busan Port is located. Although some previous studies have been reported, most of them have been beyond the scope of Asian ports and analyzed the world's major ports; moreover, the studied ports have been about the ports which are well known from the previous research and reports. So, most studies is unlikely to be used as substantial indicators from the perspective of Busan Port. In addition. most of the existing studies have used hierarchical evaluation algorithm for port ranking, such as AHP (analytical hierarchy process) and clustering analysis. However, these two methods have fundamental weaknesses from the algorithm perspective. The aim of this study is to classify major Asian ports based on competitiveness level. Especially. in order to overcome serious problem of the existing studies, major Asian ports were analyzed by using objective indicators. and Fuzzy C-Means algorithm, which alleviates the weakness of the clustering method. It was found that 10 ports of 16 major Asian ports have their own phases and were classified into 4 port groups. This result implies that some ports have higher potential as ports to lead some zones in Asia. Based on those results. present status and future direction of Busan port were discussed as well.

Effects of Habitat Disturbance on Fish Community Structure in a Gravel-Bed Stream, Korea (자갈하천에서 서식처 교란이 어류 군집구조에 미치는 영향)

  • Kim, Seog Hyun;Lee, Wan-Ok;Cho, Kang-Hyun
    • Ecology and Resilient Infrastructure
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    • v.1 no.2
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    • pp.49-60
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    • 2014
  • Fish assemblages play an integral role in stream ecosystem and are influenced by stream environmental conditions and habitat disturbances. Fish community structures and habitat parameters of U.S. EPA rapid bio-assessment protocol were surveyed to investigate the effect of stream environment and habitat disturbance on fish communities at 13 study sites in the Gapyeong Stream, a typical gravel-bed stream. Principal component analysis (PCA) based on data from habitat assessment at each study site indicated that the study sites were differentiated by habitat parameters such as embeddedness, velocity/depth regime and sediment deposition, which were related with bed slope. A total of 46 species belonging to 12 families were collected in the Gapyeong Stream. A dominant species was Zacco koreanus, subdominant species was Z. platypus. Hierarchical cluster analysis based on species abundance classified fish communities into the three main groups along the stream longitudinal change. Non-metric multidimensional scaling (NMDS) portrayed that fish community structures were related to major habitat parameters, i.e., epifaunal substrate/available cover, embeddedness, velocity/depth regime, sediment deposition, channel alternation and frequency of riffles. These results suggested that fish community structures were primary affected by the longitudinal environmental changes, and those were modified by habitat disturbance in the Gapyeong Stream, a gravel-bed stream.

Overall Analysis of Competitiveness of Asian Major Ports Using the Hybrid Mechanism of FCM and AHP (FCM법과 AHP법을 융합한 아시아 주요항만의 경쟁력에 관한 종합적 분석에 관한 연구)

  • Lee, Hong-Girl
    • Journal of Navigation and Port Research
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    • v.27 no.2
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    • pp.185-191
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    • 2003
  • The aim of this research is to overall analyze/classify characteristics of Asian major ports. To achieve this aim, we firstly pointed out critical problems on research methodology and research scope which most of previous research have, from related literature review. In order to overcome those problems, major ports in A냠 were selected by the objective indicators, and both algorithms of AHP(Analytic Hierarchical Process) and FCM(Fuzzy C-Means) that revise weakness in previous clustering method were used. Through these hybrid approach, it were found that only 10 ports of 16 major Asian ports had their own phases in Asian major ports. Those 10 ports were classified into 6 port groups, and also membership degree of each port within the 4 port groups and ranking of each ports seer analyzed. Finally, based on results of these analysis, present status and future direction of Busan port were discussed.

Selecting Technique of Accident Sections using K-mean Method (K-평균법을 이용한 고속도로 사고분석구간 분할기법 개발)

  • Lee, Ki-Young;Chang, Myung-Soon
    • International Journal of Highway Engineering
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    • v.7 no.4 s.26
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    • pp.211-219
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    • 2005
  • A selection of the analysis section for traffic accidents is used to analyze definitely the cause of accidents sorting similar accidents by a group and to raise the effect of improvement projects deciding the priority of accidents. In the existing method, an uniformly dividing method based on road mileages has been used, which has no consideration for similarities among accidents. Consequently, in recent, a slider-length method considering accident types rather than road mileages is widely used. In this study, using K-mean method, a non-hierarchical grouping technique used in the Cluster Analysis ai a applicatory method for the slider length method, a method classifies accidents that occurred the most nearby mileages into one group is proposed. To verify the proposed method, a comparison between the f-mean method and the dividing method at regular intervals on the data of a total of 25.6km lengths along Kyung-bu freeway in Pusan direction was made so that the K-mean method was proved to an effective method considering the similarities and adjacencies of accidents.

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The Comparison of Community Characteristics of Ground-dwelling Invertebrates According Agroecosystem Types in the Eastern Region of the Korean Peninsula (한반도 동부 농업생태계에 따른 지표배회성 무척추동물의 군집 특성 비교)

  • Ahn, Chi-Hyun;Oh, Young-Ju;Ock, Suk-Mi;Lee, Wook-Jae;Sohn, Soo-In;Kim, Myung-Hyun;Na, Young-Eun;Kim, Chang-Seok
    • Korean journal of applied entomology
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    • v.56 no.1
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    • pp.29-39
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    • 2017
  • To compare the features of ground-dwelling invertebrates according agroecosystems, we selected paddy fields, dry fields, orchards in the Eastern region of Korea. The surveys were performed by using pit-fall traps twice per year from 2013 to 2015. Total 6,420 individuals of 172 species belonging to 13 orders, 58 families were investigated in the Eastern region, the species of Hymenoptera (38.26%), Orthoptera (16.28%) accounted large portion of the communities. In the geographical observation, invertebrates were caught was 2,983 individuals in Gyeongsangnam-do, the diversity index of Gyeongsangbuk-do community was higher than of the others and abundance and species richness of paddy field were higher than from dry field or orchard. To understand the relation between taxonomic groups and environmental factors, we carried out the canonical correspondence analysis and hierarchical clustering. As a result, Homoptera, Blattaria, Isoptera, and Coleoptera were positively related to soil pH, soil temperature, and moisture contents, and negatively related to the others. Invertebrate community also were patterned dependently by type of ecosystems. This results were shown that distribution of invertebrates is a few influenced the relationship of the space habituated invertebrates and environmental factors.

Monitoring of Groundwater quality according to groundwater use for agriculture (농업용 지하수 사용에 따른 지하수질 모니터링 평가)

  • Ha, Kyoochul;Ko, Kyung-Seok;Lee, Eunhee;Kim, Sunghyun;Park, Changhui;Kim, Gyoo-Bum
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.30-30
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    • 2020
  • 본 연구에서는 여름철에 농업용수(벼농사용)로서 집중적으로 지하수를 사용하는 지역에서 시기별 지하수 사용에 따른 지하수 수질변화를 평가하기 위해 수행되었다. 연구지역은 충남 홍성군 양곡리와 신곡리 일부를 포함하는 면적 2.83 ㎢(283.3 ha)에 해당하는 지역이다. 연구지역 지하수 수질의 공간적 분포 및 시간적 변화 특성 평가를 위하여 2019년 2회(7월, 10월)에 걸쳐 지하수 관정(21개소)에 대하여 조사 및 분석을 수행하였다. 지하수 샘플은 현장에서 온도(T), pH, 용존산소(DO) 및 전기전도도(EC), 산화환원전위(Eh) 등을 측정하였고, 실험실에서 주요 양이온 및 미량원소(Ca, Mg, Na, K, Si, Sr), 음이온(F, Cl, Br, NO2, NO3, PO4, SO4), 알칼리도, 용존 유기탄소(DOC)와 용존 유기물(DOM) 등을 분석하였다. 지하수 수질조사 결과, 전체의 14~15개소(67~71%)가 Ca-HCO3 유형으로 분류되었으며, 다음으로는 Ca-Cl 유형이 4~5개소(19~24%)가 관찰되었다. 얕은 심도의 관정에서 상대적으로 심도가 깊은 관정보다 대부분 성분(TDS, Ca, Mg, Na, K, Cl, SO4, HCO3, DOC)에서 높은 농도를 나타내었다. 지하수의 수질자료를 이용하여 다변량통계분석법인 주성분분석(PCA: Principal Components Analysis)과 계층적 군집분석(HCA: Hierachical Cluster Anlaysis)를 수행한 결과, 초기 3개 주요 고유성분(eigenvalue)는 PC1 54.0%, PC2 14.2%, PC3 12.3%로 전체 분산의 88.3%를 설명할 수 있었다. PC1은 Ca, Mg, Na, K, Cl, SO4, DOC가 주요한 영향 인자였으며 PC2는 HCO3, NO3, DO에 영향 받음을 확인하였다. 계층적 군집분석 결과, 연구지역 지하수는 Na-Cl 유형의 C-3 관정을 제외하고는 크게 두 그룹으로 구분되어 졌다. 다변량통계분석의 결과에서도 수리지화학, 동위원소, 용존유기물 등의 특성에서 나타나는 것과 유사한 연구지역의 수질특성을 확인할 수 있었다. 연구지역은 차시기 동안 수질변화는 일부 관정을 제외하고는 유의할 만한 수준으로 관찰되지는 않았고, 지하수 사용에 따른 지하수위 회복도 빠르게 진행되고 있는 것으로 나타났다.

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