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中文摘要：
提出了一种函数型数据的距离定义,分析了该距离与欧氏距离的关系,并给出一种函数型数据的系统聚类分析方法和具体算法,以及在低维空间对原始数据进行直观表达的方法。采用实证研究表明,该方法可以直观、有效地实现函数型数据的系统聚类分析。
英文摘要：
An analysis is made of the mechanism of Functional Principal Component Analysis,and a new method of hierarchy clustering for functional data is presented,with which visualizing the original high dimensional datum in a low dimensional space is realizable.A definition of distance between functions is given.The relationship between the argued form of distance and the Euclidean distance is investigated.To prove validity,the proposed method is applied to classify the quality of cookies from curves representing the resistance of dough observed during the kneading process.
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