宁夏师范学院学报
寧夏師範學院學報
저하사범학원학보
JOURNAL OF NINGXIA TEACHERS UNIVERSITY
2012年
3期
32-39
,共8页
维标度%区间数%区间距离%距离阵
維標度%區間數%區間距離%距離陣
유표도%구간수%구간거리%거리진
Multidimensional scaling%Interval data%Interval distance%Distance matrix
多维标度法(multidimensional scaling,MDS)是一种利用客体间的相似性去揭示其空间关系的统计分析方法.为了将普通的多维标度分析扩展到数据为区间数的多维标度分析,首先对多维标度理论、区间分析理论及其应用进行了概括,其次给出了多维标度的相关概念及区间数的相关定义及性质,最后依据给出的三个区间距离和相似度将普通的多维标度分析扩展到区间数多维标度分析,并用区间多维标度法对2009-2010年河南省15个品种小麦产量进行分析,用SPSS软件分析得到Stress-K压力指数和RSQ值来说明拟合效果,通过空间感知图来揭示各品种产量的空间关系并对结果进行解释.
多維標度法(multidimensional scaling,MDS)是一種利用客體間的相似性去揭示其空間關繫的統計分析方法.為瞭將普通的多維標度分析擴展到數據為區間數的多維標度分析,首先對多維標度理論、區間分析理論及其應用進行瞭概括,其次給齣瞭多維標度的相關概唸及區間數的相關定義及性質,最後依據給齣的三箇區間距離和相似度將普通的多維標度分析擴展到區間數多維標度分析,併用區間多維標度法對2009-2010年河南省15箇品種小麥產量進行分析,用SPSS軟件分析得到Stress-K壓力指數和RSQ值來說明擬閤效果,通過空間感知圖來揭示各品種產量的空間關繫併對結果進行解釋.
다유표도법(multidimensional scaling,MDS)시일충이용객체간적상사성거게시기공간관계적통계분석방법.위료장보통적다유표도분석확전도수거위구간수적다유표도분석,수선대다유표도이론、구간분석이론급기응용진행료개괄,기차급출료다유표도적상관개념급구간수적상관정의급성질,최후의거급출적삼개구간거리화상사도장보통적다유표도분석확전도구간수다유표도분석,병용구간다유표도법대2009-2010년하남성15개품충소맥산량진행분석,용SPSS연건분석득도Stress-K압력지수화RSQ치래설명의합효과,통과공간감지도래게시각품충산량적공간관계병대결과진행해석.
Multidimensional scaling (multidimensional scaling, MDS) is a method of using objectSimilarity to reveal the spatial relationship of the statistieal analysis method. In order to extended the ordinary multidimensional scaling analysis is to the data is interval of multidimensional scaling analysis. In this paper, Firstly, the theory of multidimensional scaling, interval analysis theory and its application is generalized. Then gives the related concepts and related definitions and properties of multidimensional scaling and interval numbers. Finally the given Three interval distance and similarity of the multidimensional scaling analysis is extended the ordinary multidimensional sealing analysis to the interval number of multidimensional scaling analysis and interval Muhidimensional sealing method for 2009--2010 in He Nan Province in 15 varieties of wheat yield were analyzed, using SPSS software analysis to Stress - K pressure index and the value of RSQ to illustrate the fitting effect and by spatial perceptual map to reveal all varieties yield Spatial relations and interpretation of results.