• Title/Summary/Keyword: cluster analysis

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A Study on Efficient Cluster Analysis of Bio-Data Using MapReduce Framework

  • Yoo, Sowol;Lee, Kwangok;Bae, Sanghyun
    • Journal of the Chosun Natural Science
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    • v.7 no.1
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    • pp.57-61
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    • 2014
  • This study measured the stream data from the several sensors, and stores the database in MapReduce framework environment, and it aims to design system with the small performance and cluster analysis error rate through the KMSVM algorithm. Through the KM-SVM algorithm, the cluster analysis effective data was used for U-health system. In the results of experiment by using 2003 data sets obtained from 52 test subjects, the k-NN algorithm showed 79.29% cluster analysis accuracy, K-means algorithm showed 87.15 cluster analysis accuracy, and SVM algorithm showed 83.72%, KM-SVM showed 90.72%. As a result, the process speed and cluster analysis effective ratio of KM-SVM algorithm was better.

A Study of Library Grouping using Cluster Analysis Methods (군집분석 기법을 이용한 공공도서관 그룹화에 대한 연구)

  • Kwak, Chul Wan
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.31 no.3
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    • pp.79-99
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    • 2020
  • The purpose of this study is to investigate the model of cluster analysis techniques for grouping public libraries and analyze their characteristics. Statistical data of public libraries of the National Library Statistics System were used, and three models of cluster analysis were applied. As a result of the study, cluster analysis was conducted based on the size of public libraries, and it was largely divided into two clusters. The size of the cluster was largely skewed to one side. For grouping based on size, the ward method of hierarchical cluster analysis and the k-means cluster analysis model were suitable. Three suggestions were presented as implications of the grouping method of public libraries. First, it is necessary to collect library service-related data in addition to statistical data. Second, an analysis model suitable for the data set to be analyzed must be applied. Third, it is necessary to study the possibility of using cluster analysis techniques in various fields other than library grouping.

Cluster Analysis of Car Parking Data, and Development of their Web Applications

  • Kubota, Takafumi;Hayashi, Takayuki;Tarumi, Tomoyuki
    • Communications for Statistical Applications and Methods
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    • v.18 no.4
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    • pp.549-557
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    • 2011
  • In this paper, we apply cluster analysis to "Okayama parking data" that is one of the spatial point patterns data that includes locations and the fare structure of car parking space in Okayama central area. This study classifies the characteristics of small areas through Okayama parking data as well as visualizes the results of the cluster analysis. We develop web applications that connect the results of a cluster analysis and overlay objects including points of balloons and rectangles of small areas over a map of Okayama central area.

An Analysis of Children's Creative Thinking Styles According to Cluster Analysis (군집분석을 이용한 아동의 창의적 사고유형 분석)

  • Kim, Kyoung Eu;Kim, Eun A;Kim, Seong Hui
    • Korean Journal of Child Studies
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    • v.35 no.2
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    • pp.103-115
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    • 2014
  • This study explored the creative thinking styles of children according to cluster analysis and examined group differences in the gender of children. The participants consisted of 250 elementary school students living in Seoul, Korea. Data were analyzed by means of cluster analysis and ${\chi}^2$ test. The results from the cluster analysis based on the scores on the sub-factors of TTCT(Torrance Test of Creative Thinking) suggested the existence of four clusters('Non-creative', 'Divergent creative', 'Elaborate creative, 'Multiple creative'). Additionally, four clusters were found to be differentiated according to gender.

Financial Performance Evaluation of Domestic Life Insurers : A Comparison of ELECTREII, SAW and Cluster Analysis (국내 생명보험회사의 재무건전성 평가: ELECTRE II, 단순가중합모형, 군집분석의 비교)

  • 민재형;송영민
    • Journal of the Korean Operations Research and Management Science Society
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    • v.28 no.4
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    • pp.39-60
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    • 2003
  • In this study, we evaluate financial performance of 21 domestic life insurers using SAW (simple additive weighting), ELECTREII, cluster analysis respectively, and suggest a hybrid approach of combining cluster analysis and ELECTREII to reclassify the life insurers into more meaningful groups according to their respective financial features. We also perform the sensitivity analysis employing ANOVA and Tukey's test to examine the robustness of ELECTREII, which would be influenced by decision maker's subjective preference parameters. Consequently, it is shown that ELECTREII turns out to be a flexible method providing decision makers with useful ranking Information especially under fuzzy decision making situation with incomparable alternatives, and hence it can serve as a complementary method to overcome the weakness of classical cluster analysis.

Cluster Analysis-based Approach for Manufacturing Cell Formation (제조 셀 구현을 위한 군집분석 기반 방법론)

  • Shim, Young Hak;Hwang, Jung Yoon
    • Journal of the Society of Korea Industrial and Systems Engineering
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    • v.36 no.1
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    • pp.24-35
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    • 2013
  • A cell formation approach based on cluster analysis is developed for the configuration of manufacturing cells. Cell formation, which is to group machines and parts into machine cells and the associated part families, is implemented to add the flexibility and efficiency to manufacturing systems. In order to develop an efficient clustering procedure, this paper proposes a cluster analysis-based approach developed by incorporating and modifying two cluster analysis methods, a hierarchical clustering and a non-hierarchical clustering method. The objective of the proposed approach is to minimize intercellular movements and maximize the machine utilization within clusters. The proposed approach is tested on the cell formation problems and is compared with other well-known methodologies available in the literature. The result shows that the proposed approach is efficient enough to yield a good quality solution no matter what the difficulty of data sets is, ill or well-structured.

Cluster Analysis for Foot Type(I) - The subject of the college women between the age of 19~23 years - (발의 형태 분석을 위한 군집분석(I) - 19~23세 여자 대학생을 중심으로 -)

  • 문명옥
    • Journal of the Korean Society of Clothing and Textiles
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    • v.18 no.2
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    • pp.211-220
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    • 1994
  • The purpose of this study was to analyze the foot type by cluster analysis for footwear. The sample size for the study was 200 college womens between age 19 and 23 in Pusan urban area. There were measured 17 items of the foot for factor analysis and cluster analysis. The result was as follows : 1. 1'here were 9 items selected by factor analysis. 2.'rho cluster analysis of the foot must be analyzed by direct and indirect measurement indivisually. 3. The cluster analysis of the direct measurement ; Cluster 1 : 1'he foot length is all much the same to mean value of this age group and the items of width and circumference are relatively small to other clusters. Cluster 2 ; The foot length is relatively small to other clusters and the items of width and circumference are all much the same to mean value of this age group. Cluster 3 ; The foot sine Is relatively large to other clusters. 4. The cluster analysis of indirect measurement ; Cluster 1 ; The (cot print angle is high find Metatarso-Phalanx angle is transformed Cluster 2 ; The foot print angle is low and Melatarso-Phalanx angle is normal. Cluster 3 : Tho foot print angle Is middle and Metatarso-Phalanx angle is all the mush same to mean value of this age group. Cluster 4 . The foot print angle Is the most value and Metatarso-Phalanx angle is normal.

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Vegetation Structure of Peucedanum japonicum Thunb. Community in Southern Coast of Korea

  • Kim, Seong-Min;Shin, Dong-Il;Yoon, Seong-Tak;Song, Hong-Seon
    • Korean Journal of Medicinal Crop Science
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    • v.15 no.5
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    • pp.357-361
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    • 2007
  • This study was conducted to evaluate the vegetation structure of the Peucedanum japonicum community by the phytosociological method of floristic composition table and cluster analysis on the southern coast of Korea. The vegetation of the Peucedanum japonicum community was classified mainly into 2 communities such as the Miscanthus sinensis community and the Lysimachia mauritiana-Rosa wichuraiana community. The Carex boottiana and Sedum oryzifolium community were classified as the lower rank of Miscanthus sinensis community. On level 1 of the cluster analysis of plant species, they were classified into Lysimachia mauritiana and Rosa wichuraiana group, also Miscanthus sinensis, Carex boottiana and Sedum oryzifolium in Peucedanum japonicum community, which is similar to the community classification shown in the synoptic table. On level 1 of the cluster analysis of relev, inland coast with Jejudo was Lysimachia mauritiana and Rosa wichuraiana of group such as level 1 of the cluster analysis of plant species, and island coast with Geomundo was Miscanthus sinensis Carex boottiana and Sedum oryzifolium of group such as cluster analysis of plant species.

The Comparison of Foot Shape Classification Methods (발 형태 분류 방법 비교 연구)

  • Choi, Sun-Hui;Chun, Jong-Suk
    • The Research Journal of the Costume Culture
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    • v.15 no.2
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    • pp.252-264
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    • 2007
  • The purpose of this study was to compare two analytical methods classifying foot shape. The methods compared were cluster analysis method and foot index analysis method. This study defined the women's foot shape by these methods. 39 foot measurements which were automatically collected using the three dimensional foot scanner were analyzed. 203 Korean women in age 20s were participated in the anthropometric survey. Their foot shapes were classified into 5 foot types by cluster analysis: short & slim shape, flat shape, short & slender shape with slightly distorted toe, long and big shape, and short & wide shape. The foot measurements were also analyzed by the ratio of foot width and length. Five foot types that were classified by cluster analysis and three foot types that were classified by the foot index were compared. The comparison shows that cluster analysis precisely defined foot shapes. It was suggested that made-to-measure shoes making industry may adopt the foot shape analysis method utilizing cluster analysis.

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Regional Extension of the Neural Network Model for Storm Surge Prediction Using Cluster Analysis (군집분석을 이용한 국지해일모델 지역확장)

  • Lee, Da-Un;Seo, Jang-Won;Youn, Yong-Hoon
    • Atmosphere
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    • v.16 no.4
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    • pp.259-267
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    • 2006
  • In the present study, the neural network (NN) model with cluster analysis method was developed to predict storm surge in the whole Korean coastal regions with special focuses on the regional extension. The model used in this study is NN model for each cluster (CL-NN) with the cluster analysis. In order to find the optimal clustering of the stations, agglomerative method among hierarchical clustering methods was used. Various stations were clustered each other according to the centroid-linkage criterion and the cluster analysis should stop when the distances between merged groups exceed any criterion. Finally the CL-NN can be constructed for predicting storm surge in the cluster regions. To validate model results, predicted sea level value from CL-NN model was compared with that of conventional harmonic analysis (HA) and of the NN model in each region. The forecast values from NN and CL-NN models show more accuracy with observed data than that of HA. Especially the statistics analysis such as RMSE and correlation coefficient shows little differences between CL-NN and NN model results. These results show that cluster analysis and CL-NN model can be applied in the regional storm surge prediction and developed forecast system.