• Title/Summary/Keyword: K-mean cluster analysis

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Differences in Learning Strategies for High School Students by Cluster Type of Hope (고등학생의 희망 군집유형별 학습전략의 차이)

  • Kim, Jin-Cheol;Jang, Bong Seok
    • Journal of Industrial Convergence
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    • v.18 no.3
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    • pp.1-6
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    • 2020
  • The purpose of this study is to theoretically understand hope theory suggested by Snyder and confirm its utility in the school settings. We analyzed the survey data responded by general high school students to find clustering types of hope and mean difference of learning strategies by each type through ANOVA. Results are as follows. First, hope by cluster analysis resulted in four types. Second, hope and learning strategy showed statistically positive correlation. Especially two sub-variables of hope and meta-cognition had highest correlation. Researchers suggested the direction of a future study to investigate structural relation among hope profile, student achievement, adjustment, and etc.

Operational Management System and Characteristics Analysis on the Rural Experience Programs: the Case of Comprehensive Rural Village Development Projects (농촌체험프로그램 운영 유형 및 실태분석 : 농촌마을종합개발사업을 중심으로)

  • Hwang, Han-Cheol;Roh, Yong-sik;Park, Jung-Su
    • Journal of Korean Society of Rural Planning
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    • v.21 no.2
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    • pp.103-114
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    • 2015
  • The comprehensive rural village development projects (CRVDP) have been carried out as the core one of the rural development schemes in Korea since 2004. CRVDP included the various rural experience programs to increase rural income and in order to promote rural community development in the project area. This study analyzed the operating management conditions, types and characteristics of the rural experience programs targeting the 168 CRVDPs have been completed so that the recommendations and lessons which were found the usefulness, challenges and improvements to the CRVDP can be provided to be better the same kinds of rural development projects. We identified the relationships between performances such as increasing village income and utilization of rural amenity resources to the CRVDP and operational management types of the rural experience programs as well. Employing principle component analysis and cluster analysis technique, this study found 5 clusters of rural experience programs among 168 CRVDPs. The results of analysis of variance indicated that there were significant the mean differences between clusters such as the utilization of rural amenity resources(0.01), income of rural experience programs(0.1). According to the result of the Chi-squire test, there was very significant differences between internet homepage operation and clusters(0.01). Finally, the analysis of covariance about the income of rural experience programs showed that there were significant the mean differences between clusters(0.05).

The Research on Constructing Networks into Clusters;Focusing on the networks that support the growth of an enterprise (클러스터 내 성장지원 네트워크 구축에 관한 실증연구;대덕 첨단클러스터 성장지원 네트워크 중심으로)

  • Park, Chang-Hyeon;Park, Jun-Byung
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.2 no.4
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    • pp.19-41
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    • 2007
  • This research has a goal which is suggesting the way of constructing 'Cluster' which mean scheming the commencement of an enterprise in an early stage. Now it is reorganized into a IT industry structure 'Time-to market growth' is burst as a big issue. in that point, this research analyze the core success factor which is drawing from the existing IT industrial complex, and then it will be used to draw up to the 'Idealistic growth-support Cluster' on the basis of it, we pulled out various issues about the Corporate in the early stage of its growth. Therefore, this research is focused on presenting the ideal network(net) by considering the Network that organizations and business in Cluster or the network including the factors linked organizations and business in Cluster. therefore, this research carried out three big analysis. from the case investigation we pulled out the core growth factor, and then we approached the analysis of net structure for making application to Network Analysis. and then we analyzed that the characteristics of the Network after measuring by on the basis of analyzing core growth factor. and especailly, this research carried out the Core analysis for recognition of Core- support-frame by base Centrality Test on the net which is composed of growth support organizations at each Business. Judging from this, we can help to make full use of resources for the network analysis in Cluster and establish the Network Strategy by Structure comparison between the structure of industry-Cluster and ideal Business-support networks on the basis of the analysis from the Core-success-factor

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Analysis of Genetic Variability Using RAPD Markers in Paeonia spp. Grown in Korea

  • Lim, Mi Young;Jana, Sonali;Sivanesan, Iyyakkannu;Park, Hyun Rho;Hwang, Ji Hyun;Park, Young Hoon;Jeong, Byoung Ryong
    • Horticultural Science & Technology
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    • v.31 no.3
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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.

Data Classification Using the Robbins-Monro Stochastic Approximation Algorithm (로빈스-몬로 확률 근사 알고리즘을 이용한 데이터 분류)

  • Lee, Jae-Kook;Ko, Chun-Taek;Choi, Won-Ho
    • Proceedings of the KIPE Conference
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    • 2005.07a
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    • pp.624-627
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    • 2005
  • This paper presents a new data classification method using the Robbins Monro stochastic approximation algorithm k-nearest neighbor and distribution analysis. To cluster the data set, we decide the centroid of the test data set using k-nearest neighbor algorithm and the local area of data set. To decide each class of the data, the Robbins Monro stochastic approximation algorithm is applied to the decided local area of the data set. To evaluate the performance, the proposed classification method is compared to the conventional fuzzy c-mean method and k-nn algorithm. The simulation results show that the proposed method is more accurate than fuzzy c-mean method, k-nn algorithm and discriminant analysis algorithm.

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A comparison with Result of Normalized image to Different Template image on Statistical Parametric Mapping of ADHD children patients (과잉행동장애 어린이의 SPM(Statistical Parametric Mapping)분석에서 서로 다른 Template image로 규격화된 SPEC 영상의 결과 비교)

  • Shin, Dong-Ho;Park, Soung-Ock;Kwon, Soo-Il;Joh, Chol-Woo;Yoon, Seok-Nam
    • Journal of radiological science and technology
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    • v.26 no.2
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    • pp.71-78
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    • 2003
  • We studied 64 ADHD children patients group($4{\sim}15\;ys$, mean age : $8{\pm}2.6\;ys$. M/F:52/12) and 12 normal group($6{\sim}7\;ys$, mean age : $9.4{\pm}3.4\;ys$, M/F:8/4) of the brain has been used to analysis of blood flow between normal and ADHD group. For analysis of Children ADHD, we used 12 children's mean brain images and made Template image of SPM99 program. In increase of blood flow(P-value 0.05), the result of normalized images to Template image to offer from SPM99 program, showed significant cluster in inter-Hemispheric and occipital Lobe, in the case of normalized images to children template image, showed inter-hemispheric and parietal lobe.

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A Study on the Characteristics of Antecedent Meteorologic Conditions on High Ozone Days in Busan (부산지역 고농도 오존일의 선행 기상 특성 연구)

  • Do, Woo-Gon;Jung, Woo-Sik
    • Journal of Environmental Science International
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    • v.24 no.8
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    • pp.993-1001
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    • 2015
  • Comparing to the other air pollutants like $SO_2$, CO, the number of exceedance of the ozone national ambient air quality standard(NAAQS) and the ozone warning increased recently in Busan. The purpose of this study is to find out the preliminary symptoms for high ozone days in Busan area. In order to find out the preliminary symptoms, the hourly ozone data at air quality monitoring stations and the hourly meterological parameters at Busan regional meteorological 2007 to 2013 were used for the analysis. Averaged daily max ozone concentration was the highest(0.055 ppm) at Noksan and Youngsuri in the ozone season from 2007 to 2013. The horizontal distributions of daily max. ozone including all stations in Busan at high ozone days(the day exceeding 0.1 ppm of ozone concentration at least one station) were classified from two to five clusters by hierarchial cluster analysis. The meteorological variables showing strong correlation with daily max. ozone were the daily mean dew point temperature, averaged total insolation, the daily mean relative humidity and the daily mean cloud amount. And the most frequent levels were $19-23^{\circ}C$ in dew point temperature, $21-24 MJ/m^2$ in total insolation on the day before, $2.6-3.0 MJ/m^2$ on the very day, 67-80% in relative humidity and 0-3 in cloud amount.

Analyzing the Spatio-temporal Trend in TMDL Water Quality for Gyeongnam Using Emerging Hot Spot Analysis (수질오염총량제 대응을 위한 경남 하천 수질의 시공간 경향성 분석)

  • Sun, Danbee;Kim, Jiho;Kim, Sangmin;Jang, Min-Won
    • Journal of Korean Society of Rural Planning
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    • v.26 no.4
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    • pp.53-65
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    • 2020
  • This study aimed to provide a basic information for managing the water quality of national and regional 1st rivers in Gyeongnam by analyzing the emerging hot spot patterns in BOD, T-P, and TOC, and by grouping the changing trends into clusters. The emerging hot spot analysis for each water quality item was implemented in ArcGIS Desktop with monthly water quality data from 96 water environmental monitoring stations in Gyeongnam, and then four patterns of water quality change were classified by the K-mean cluster analysis. As for BOD, persistent cold spot pattern covered about 42.9% of target rivers, and T-P concentration tended to be low or be getting lower at over 70% of target rivers. While, for TOC, about 70% of target rivers resulted in oscillating hot spots. In addition, the cluster analysis showed that the downstream of Nakdong river had the top priority in terms of water quality management because of the increasing concentration for all the three water quality.

Genetic Differentiation of Chinese Indigenous Meat Goats Ascertained Using Microsatellite Information

  • Ling, Y.H.;Zhang, X.D.;Yao, N.;Ding, J.P.;Chen, H.Q.;Zhang, Z.J.;Zhang, Y.H.;Ren, C.H.;Ma, Y.H.;Zhang, X.R.
    • Asian-Australasian Journal of Animal Sciences
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    • v.25 no.2
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    • pp.177-182
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    • 2012
  • To investigate the genetic diversity of seven Chinese indigenous meat goat breeds (Tibet goat, Guizhou white goat, Shannan white goat, Yichang white goat, Matou goat, Changjiangsanjiaozhou white goat and Anhui white goat), explain their genetic relationship and assess their integrity and degree of admixture, 302 individuals from these breeds and 42 Boer goats introduced from Africa as reference samples were genotyped for 11 microsatellite markers. Results indicated that the genetic diversity of Chinese indigenous meat goats was rich. The mean heterozygosity and the mean allelic richness (AR) for the 8 goat breeds varied from 0.697 to 0.738 and 6.21 to 7.35, respectively. Structure analysis showed that Tibet goat breed was genetically distinct and was the first to separate and the other Chinese goats were then divided into two sub-clusters: Shannan white goat and Yichang white goat in one cluster; and Guizhou white goat, Matou goat, Changjiangsanjiaozhou white goat and Anhui white goat in the other cluster. This grouping pattern was further supported by clustering analysis and Principal component analysis. These results may provide a scientific basis for the characteristization, conservation and utilization of Chinese meat goats.

Structural Parameters of Galaxies in the Virgo Cluster

  • Kim, Suk;Yi, Wonhyeong;Rey, Soo-Chang;Sung, Eon-Chang;Jerjen, Helmut;Lisker, Thorsten;Lee, Youngdae;Lee, Woong;Chung, Jiwon;Pak, Mina
    • The Bulletin of The Korean Astronomical Society
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    • v.38 no.2
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    • pp.47.1-47.1
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    • 2013
  • We present structural parameters of galaxies in the Extended Viro Cluster Catalog (EVCC), new catalog of galaxies in the Viro cluster using homogeneous Sloan Digital Sky Survey (SDSS) Date Release 7 (DR7) data. The EVCC covers more extended region of the Viro cluster than of the Virgo Cluster Catalog (VCC) and presents updated morphologies of galaxies using multi-band images and spectral features. We obtain the surface brightness profiles of galaxies using ellipse task in IRAF. Based on the analysis of surface brightness profile we construct a catalog of various structural parameters of galaxies, i.e. central surface brightness, effective radius, sersic index, effective surface brightness, and mean effective surface brightness. Taking advantage of these structural parameters in various parameter spaces, we refine criteria of dividing giant elliptical and dwarf elliptical galaxies. In addition, we found that bulge dominated galaxies have larger sersic index and brighter central surface brightness than disk dominated galaxies. At fixed magnitude, dwarf elliptical galaxies dwarf lenticular galaxies, and dwarf irregular low surface brightness (LSB) galaxies show larger effective radii than giant elliptical galaxies, giant lenticular galaxies, and irregular high surface brightness (HSB) galaxies, respectively. Dwarf elliptical galaxies and dwarf irregular LSB galaxies occupy the similar structural parameter spaces. We suggest that giant elliptical galaxies and dwarf elliptical galaxies may have different origin.

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