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lpe

于 2010-07-06 发布 文件大小:2KB
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代码说明:

  ligne de partage des eaux sur matlab

文件列表:

lpe
...\lpe.m,1116,2009-02-23
...\watershed.m,9030,2008-12-14

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    在试验中编写程序实现了K均值聚类算法,K均值聚类的原理是:在训练样本中找到C个聚类中心,每个聚类中心代表一个类的中心。然后将样本归类到与其最近的聚类中心的那一类。 C的选择是通过先验知识或经验选取的。聚类中心是通过算法迭代求得的。(In the test preparation process to achieve a K means clustering algorithm, K means clustering principle is: in the training samples to find C a cluster center, each cluster center represents a kind of center. Then the samples are classified to the nearest cluster center with the type. C' s choice is a priori knowledge or experience through the selected. Cluster center is obtained through the iterative algorithm.)
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    该算法是多层递阶预报算法,可以实现时间序列的有效预测!(The algorithm is a multi-recursive prediction algorithm can be implemented effectively predict time series!)
    2015-01-08 20:43:11下载
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    信息融合中的许多数据关联算法计算量大, 工程中难以保证实时性和有效性。本文就这一方面展开研究, 给出了可以满足工程实际需要的有效算法, 设计出相应的系统。通过实际系统应用, 可以获得满意的融合结果和较快的计算速度。(The comput ation quant ity of many data correlation algorithm is great in the information fusion. It is difficult to guarantee the computing speed and the validity in real time processing. By studying on this hand, this article launches the research, produces the effective algorithm suit to real engineering. The corresponding system is designed. Through the actual system application, the satisfaction the fusion result and a quicker comput ation speed is obtained.)
    2014-01-03 16:28:09下载
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