助手标题  
全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多
查询帮助
意见反馈
   equivalence relations 在 自然地理学和测绘学 分类中 的翻译结果: 查询用时:0.208秒
图标索引 在分类学科中查询
所有学科
自然地理学和测绘学
数学
更多类别查询

图标索引 历史查询
 

equivalence relations
相关语句
  等价关系
    3) Using equivalence relations of attributes of remote sensing image, rough set theory offers the number and the centroids of the clusters, which initialize the K-means clustering.
    (3)分析聚类初值对于K-means聚类结果的影响,通过应用粗集的等价关系概念来选取聚类所需要的初始类的个数和均值,从而提高聚类的效率和准确性。
短句来源
    Using equivalence relations of attributes of remote sensing image,rough set theory offers the number and the centroids of the clusters, which initialize the K-means clustering. And then the image is segmented by K-means clustering algorithm.
    根据遥感影像中特征属性的相互依赖关系,应用粗糙集理论的等价关系,求出K———均值聚类所需要的初始类的个数和均值,然后采用聚类算法对图像进行分割。
短句来源
    Using equivalence relations of attributes of remote sensing image,rough set theory offers the number and the centroids of the clusters, which initialize the K-means clustering. And then the image is segmented by K-means clustering algorithm.
    根据遥感影像中特征属性的相互依赖关系,应用粗糙集理论的等价关系,求出K—均值聚类所需要的初始类的个数和均值,然后采用聚类算法对图像进行分割。
短句来源
  “equivalence relations”译为未确定词的双语例句
    A unified differential model is established based on analayses on the fundamental measurement data of GPS. The equivalence relations among different models are discussed.
    文中首先分析了GPS的基本观测值,在此基础上对差分模型进行了理论上的概括与统一,并分析了其不同的作用效果,最后扼要说明了各类差分模型的等价性关系
短句来源
查询“equivalence relations”译词为用户自定义的双语例句

    我想查看译文中含有:的双语例句
例句
为了更好的帮助您理解掌握查询词或其译词在地道英语中的实际用法,我们为您准备了出自英文原文的大量英语例句,供您参考。
  equivalence relations
Finite Equivalence Relations on Algebraic Varieties and Hidden Symmetries
      
In each case the equivalence relations connecting the solutions of the radiation and diffraction problems are derived.
      
Such equivalence relations are said to be monadic.
      
Reducibility between monadic equivalence relations is studied.
      
The results obtained are similar to theorems of modern descriptive set theory on the reducibility of Borel equivalence relations.
      
更多          


Differential theory plays an important role in GPS navigation and positioning. A unified differential model is established based on analayses on the fundamental measurement data of GPS. The equivalence relations among different models are discussed.

差分理论是GPS导航与定位中的一个重要理论。文中首先分析了GPS的基本观测值,在此基础上对差分模型进行了理论上的概括与统一,并分析了其不同的作用效果,最后扼要说明了各类差分模型的等价性关系

This paper presents a remote sensing image segmentation method based on rough set theory and K-means clustering. Using equivalence relations of attributes of remote sensing image,rough set theory offers the number and the centroids of the clusters, which initialize the K-means clustering. And then the image is segmented by K-means clustering algorithm. Compared with the process beginning by random selection of objects as the centroids of the clusters, the computational time requirement is significantly...

This paper presents a remote sensing image segmentation method based on rough set theory and K-means clustering. Using equivalence relations of attributes of remote sensing image,rough set theory offers the number and the centroids of the clusters, which initialize the K-means clustering. And then the image is segmented by K-means clustering algorithm. Compared with the process beginning by random selection of objects as the centroids of the clusters, the computational time requirement is significantly small, the possibility of mistakes in segmentation is reduced and the classification precision and accuracy is improved.

结合粗糙集理论和K———均值聚类算法,提出一种遥感影像的粗糙聚类分割方法。根据遥感影像中特征属性的相互依赖关系,应用粗糙集理论的等价关系,求出K———均值聚类所需要的初始类的个数和均值,然后采用聚类算法对图像进行分割。实验结果表明该方法比随机选取聚类的中心点和个数减少了运算量,提高了分类精度和准确性。

This paper presents a remote sensing image segmentation method based on rough set theory and K-means clustering. Using equivalence relations of attributes of remote sensing image,rough set theory offers the number and the centroids of the clusters, which initialize the K-means clustering. And then the image is segmented by K-means clustering algorithm. Compared with the process beginning by random selection of objects as the centroids of the clusters, the computational time requirement is significantly...

This paper presents a remote sensing image segmentation method based on rough set theory and K-means clustering. Using equivalence relations of attributes of remote sensing image,rough set theory offers the number and the centroids of the clusters, which initialize the K-means clustering. And then the image is segmented by K-means clustering algorithm. Compared with the process beginning by random selection of objects as the centroids of the clusters, the computational time requirement is significantly small, the possibility of mistakes in segmentation is reduced and the classification precision and accuracy is improved.

结合粗糙集理论和K—均值聚类算法,提出一种遥感影像的粗糙聚类分割方法。根据遥感影像中特征属性的相互依赖关系,应用粗糙集理论的等价关系,求出K—均值聚类所需要的初始类的个数和均值,然后采用聚类算法对图像进行分割。实验结果表明该方法比随机选取聚类的中心点和个数减少了运算量,提高了分类精度和准确性。

 
图标索引 相关查询

 


 
CNKI小工具
在英文学术搜索中查有关equivalence relations的内容
在知识搜索中查有关equivalence relations的内容
在数字搜索中查有关equivalence relations的内容
在概念知识元中查有关equivalence relations的内容
在学术趋势中查有关equivalence relations的内容
 
 

CNKI主页设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索
版权图标  2008 CNKI-中国知网
京ICP证040431号 互联网出版许可证 新出网证(京)字008号
北京市公安局海淀分局 备案号:110 1081725
版权图标 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社