大豆品种气候生态类型的划分,对大豆的分区选育、国内外优良品种的引入和新良种的适种范围以及高产栽培措施的研究,都具有非常重要的意义。有关这方面的研究前人曾做过很多工作,国内外一些专家曾用不同方法对大豆品种生态类型的划分进行了研究。本文试用一种数学方法—聚类分析法将选定的诸分类因素综合成为一个能表示每个品种间相似程度的统计量,进而用一个确切的数量值将这些统计量明确地、严格地分开,从而达到对各品种进行多因素一次性分类的目的。因此,分类的客观化、定量化是这种数量分类法的主要特点。一、聚类分析的基本思路聚类分析是一种对研究对象进行客观分类的数学分类方法。“物以类聚”是这种分类的基本出发点。它的基本原理是按照研究对象样 The division of climatic and ecological types of soybean varieties is very important for the selection and breeding of soybean, the introduction of fine varieties at home and abroad, the suitable range of new varieties and the cultivation measures of high yield. Previous work on this aspect has done a lot of work, some experts at home and abroad have used different methods to study the classification of the ecological type of soybean varieties. In this paper, we try a mathematical method - cluster analysis method will be selected by the classification of factors into a representative of each species similarity between the statistics, and then use an exact number of these statistics clearly and strictly separated , So as to achieve the purpose of carrying out the multi-factor one-time classification on each breed. Therefore, the classification of objectivity, quantification is the main feature of this quantitative taxonomy. First, the basic idea of ​​cluster analysis Cluster analysis is a mathematical classification of the objective classification of the object of study. “Things to gather” is the basic starting point for this classification. Its basic principle is according to the research object