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首页> 外文期刊>International Journal of Statistics and Applications >Using Cluster Analysis and Discriminant Analysis Methods in Classification with Application on Standard of Living Family in Palestinian Areas
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Using Cluster Analysis and Discriminant Analysis Methods in Classification with Application on Standard of Living Family in Palestinian Areas

机译：聚类分析和判别分析方法在分类中的应用及在巴勒斯坦地区生活家庭标准的应用

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This research applied methods of multivariate statistical analysis, especially cluster analysis (CA) in order to recognize the disparity in the living standards for family among the Palestinian areas. The research results concluded that there is a convergence in living standards for family between two areas formed the first cluster of high living standards which are the urban of middle West Bank and the camp of middle West Bank, also there was a convergence of living standards for family among the seven areas formed the second cluster of middle living standards which are the urban of North West Bank, the camp of North West Bank, the rural of North West Bank, the urban of South West Bank, the camp of South West Bank, the rural of South West Bank and the rural of middle West Bank. In addition, there is a convergence of living standards for family among the three areas formed the third cluster of low living standards which are the urban of Gaza strip, the rural of Gaza strip and the camp of Gaza strip. After a comparison among several methods of cluster analysis through a cluster validation (Hierarchical Cluster Analysis, K-means Clustering and K-medoids Clustering), the preference was for the Hierarchical Cluster Analysis method. However, after an examination to choose the best method of connection through agglomerate coefficient in the Hierarchical Cluster Analysis (Single linkage method, Complete linkage method, Average linkage method and Ward linkage method), the preference was for Ward linkage method which has been selected to be used in the classification. Moreover, the Discriminant Analysis method (DA) applied to distinguish the variables that contribute significantly to this disparity among families inside Palestinian areas and the results show that the variables of monthly Income, assistance, agricultural land, animal holdings, total expenditure, imputed rent, remittances and non-consumption expenditure are significantly contributed to disparity. Keywords Cluster Analysis (CA), Hierarchical Cluster Analysis (HCA), Discriminant Analysis (DA)
机译：这项研究采用多元统计分析方法，尤其是聚类分析（CA），目的是认识到巴勒斯坦地区家庭生活水平的差异。研究结果表明，在第一批高生活水平集群中的两个地区，即中西岸城市和中西岸营地之间，家庭生活水平趋于一致，而西岸城市的生活水平趋于一致。七个地区中的家庭构成了第二个中等生活水平群，分别是西北银行市区，西北银行营地，西北银行乡村，西南银行市区，西南银行营地，西南银行的乡村和中西部银行的乡村。此外，构成低生活水平的第三类的三个地区，即加沙地带的城市，加沙地带的农村和加沙地带的营地，三个地区之间的家庭生活水平趋于一致。在通过聚类验证比较了几种聚类分析方法（层次聚类分析，K-均值聚类和K-medoids聚类）之后，首选层次聚类分析方法。但是，在通过层次聚类分析（单联结法，完全联结法，平均联结法和Ward联结法）中选择通过聚集系数选择最佳连接方法后，优先选择了Ward联结法以用于分类。此外，采用判别分析方法（DA）来区分对造成巴勒斯坦地区内部家庭之间这种差异的重要因素，结果表明，每月收入，援助，农业用地，牲畜拥有量，总支出，估算租金，汇款和非消费支出极大地促进了收入差距。关键字聚类分析（CA），分层聚类分析（HCA），判别分析（DA）

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