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1)  ordered sample cluster
有序样本聚类分析
1.
Based on the data of growth,mean of each trait at each month of age were calculated,growth curves for each trait were analyzed with Gompertz model,and growth period of the puppies were divided by ordered sample cluster.
5~12月龄德国牧羊犬,测量体重、体高、体长、胸围、荐高、胸深、管围和头长,统计各性状逐月的累积生长,以Gompertz模型拟合生长曲线并运用有序样本聚类分析方法作发育阶段的划分分析。
2)  ordered specimen cluster analysis
有序样品聚类分析
1.
Results To classify 54 years into 5 stages according to t he result of ordered specimen cluster analysis.
方法 对我国建国5 4年的火灾资料进行有序样品聚类分析和描述性统计分析。
3)  ordinal samples cluster
有序样本聚类
1.
So in this paper,based on Tide Traffic Control for in Shanghai Outlines Cross-River Tunnel project,a new algorithm based on ordinal samples cluster method and non parametric regression method is proposed.
本文以上海市外环隧道潮汐交通控制项目为背景,在分析外环隧道两端入口交通数据的基础上,提出基于有序样本聚类和非参数回归交通流预测的隧道可变通道的通行方向切换算法,并最终形成一套潮汐交通控制软件并在外环隧道实际应用。
4)  ordinal data cluster
有序样本分类
5)  Fisher clustering method
Fisher有序聚类分析
6)  ordered plot clustering
有序样方聚类
1.
The vertical belts of vegetation in the eastern part of the Zhongtiao Mountains were studied by using the method of ordered plot clustering.
在野外调查的基础上 ,应用有序样方聚类法对中条山东段植被的垂直带进行了数量分类研究 ,结果为 :1。
补充资料:非系统聚类分析
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性质: 又称非谱系聚类分析。先将各样本粗略分为K个初始类,计算各类形心的坐标,再计算每个样本到类形心的距离,重新将样本聚集到最近距离的类中。再重新计算接受和失去了样本后的各类的形心,再对每个样本进行归类。循此进行,直到每个样本都归到了它与其类形心最靠近的类中,聚类过程停止,最后形成K类。

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