spatial clustering
英 [ˈspeɪʃl ˈklʌstərɪŋ]
美 [ˈspeɪʃl ˈklʌstərɪŋ]
网络 空间聚类; 空间积聚性; 空间聚集; 空间聚集性; 空间积群法
双语例句
- Validity Assessment of Spatial Clustering Methods Based on Field Theory
基于场论的空间聚类有效性评价方法研究 - A Spatial Clustering Method Adaptive to Local Density Change
一种适应局部密度变化的空间聚类方法 - Spatial Clustering Method Based on Raster Distance Transform for Extended Objects
基于栅格距离变换的扩展对象空间聚类方法 - A Spatial Clustering Algorithm with Obstacle Constraints
一种处理空间实体约束的空间聚类算法 - A Study of Mixed Increasing NEM Approach to Spatial Clustering
一种混合递增NEM的空间聚类算法 - The system mainly accomplishes the functional module of basic spatial calculation, extracting terrain feature, obstacle path analysis, spatial clustering analysis and so on.
该系统主要完成了基本的空间计算、地形特征提取、障碍路径分析、空间聚类分析等功能模块。 - This algorithm could not only complete3D spatial clustering at a time, and process clustering in-convex and complicated objects rapidly.
该算法通过闭合运算，将空间对象聚成类，一次完成三维空间聚类，可以快速处理非凸的、复杂的聚类形状。 - Study on traffic zone division based on spatial clustering analysis
城市道路网络交通小区划分方法研究 - Study of Spatial Clustering Algorithm Based on Delaunay Triangulation
基于Delaunay三角网的CBDT聚类算法研究 - A Spatial Clustering Algorithm Based on Intersection Relation for GML Data Connected or interwoven series
一种基于相交关系的GML空间聚类算法 - A Study on Spatial Clustering of Urban Function Partition
城市功能分区的空间聚类方法研究及其应用&以济南市为例 - Spatial clustering analysis is important method and study content of spatial analysis and spatial data mining.
空间聚类是空间分析和空间数据挖掘的重要方法和研究内容。 - Spatial Clustering Method Based on General Multidimensional Cloud Model
广义多维云模型及在空间聚类中的应用 - The remote sensing image cluster algorithm was introduced and improved, and then a spatial clustering method was presented.
借鉴遥感图像聚类方法，并对其加以改进，提出空间聚类方法。 - Spatial clustering can discover the fragment's semantic category.
通过空间聚类发现语言片段的语义类别； - Spatial clustering analysis in the point data distribution
应用空间聚类进行点数据分布研究 - The Research on the Spatial Clustering Algorithm Based on GIS
基于GIS的空间聚类算法研究 - A corresponding math model was set up and a new optimization algorithm of K value was designed. A preliminary study on the optimization of K value for spatial clustering was realized by a simulation design.
在此提出距离代价函数的概念，建立了相应的数学模型并设计了一个新的K值优化算法，对空间聚类K值优化问题进行了初步的研究。 - This thesis expands some theories and methodologies closely related to the spatial data mining, such as, decision tree classification, spatial clustering and spatial analysis etc. I also analyse the basic procedure of spatial data mining and study the concrete algorithm in a deepgoing way.
本文阐述了决策树分类、空间聚类、空间分析等空间数据挖掘的相关理论与方法，分析了空间数据挖掘的基本过程，并对具体的空间挖掘算法进行深入研究。 - Agricultural meta-data model based spatio-temporal ontology, spatial clustering and mapping for agricultural data, information cooperation, role-based access control were researched.
研究了基于时空本体的农业元数据建模、农业数据空间聚类与映射、多系统信息协同和层次访问控制机制等关键技术； - Spatial clustering, as one important technique of data mining, is an effective method of abstracting and mining the distribution feature of spatial data from large datasets.
空间聚类作为数据挖掘的关键技术之一，是一种能从大型数据集中提取和挖掘空间数据分布特征的有效方法。 - The fundamental principles of two spatial clustering methods, i.e. K-means and CLARANS, are represented in chapter two.
第二章主要介绍了空间聚类中K-均值法和CLARANS法的基本原理。 - Research of K value optimization of spatial clustering.
典型空间聚类问题的k值优化研究。 - Also has carried on the beneficial attempt and the new exploration for visual spatial clustering mining in the practical application.
也为可视化空间聚类挖掘在实践中的应用进行了有益的尝试和新的探索。 - Firstly, this algorithm clusters the dataset by fuzzy c-means. Due to spatial autocorrelation of spatial data, spatial information must be added into the fuzzy c-means algorithm for spatial clustering.
该方法首先用模糊c-means方法对数据集论域空间进行聚类，但由于空间数据具有空间自相关的特性，在用模糊c-means算法进行空间聚类时加入了空间信息。 - Spatial interpolation method for meteorological elements based on spatial clustering is proposed.
提出了基于空间聚类的气象要素空间插值方法。 - Additionally, it is detected that the spatial clustering of the conservation residues is a general phenomenon.
此外，还发现了保守残基的空间聚集是一个普遍现象。 - Then all cells are grouped into clusters by means of a density based spatial clustering algorithm.
然后针对网格集合，利用基于密度的空间聚类算法进行聚类。 - And achieves the application examples of visualization-based spatial clustering algorithm, explores the new way to the application of visualization technology in the agricultural, and promotes the development of temporal GIS technology in the agricultural sector.
同时实现了基于可视化空间聚类算法的应用实例，对可视化技术在农业领域的应用探索了新的途径，促进了时态GIS技术在农业领域中的发展。 - It also classified rural settlements in the region summarized and analyzed spatial clustering characteristics, rules of rural settlements.
对该地区的乡村聚落进行了分类及对乡村聚落在空间上的集聚特征和规律进行了总结并分析其原因。