In spatial classification, the spatial attributes and non-spatial attributes are considered at the same time 在進行空間數(shù)據(jù)分類時,同時考慮數(shù)據(jù)的空間屬性和非空間屬性。
The spatial classification module can classify the geographic objects according to a pre-specified attribute, and the classification result can be used to provide decision support . the classification result can be saved to and loaded from an xml file 空間數(shù)據(jù)分類模塊能夠?qū)Φ乩韺ο蟀凑漳硞€屬性分類,利用分類結(jié)果為決策者提供決策支持,挖掘結(jié)果可以保存在xml文件中或者從文件中讀取。
On the basis of studying spatial data mining method, a spatial data mining system is designed and realized, which can obtain spatial association rules and spatial classification rules from gis database . the system consists of two modules engaged in mining spatial association rules and spatial classification rules separately 在研究空間數(shù)據(jù)挖掘方法的基礎(chǔ)上設(shè)計并實現(xiàn)了一個用于從gis數(shù)據(jù)庫中挖掘空間關(guān)聯(lián)規(guī)則和進行空間數(shù)據(jù)分類的空間數(shù)據(jù)挖掘系統(tǒng),該系統(tǒng)可分為兩個模塊,分別進行空間關(guān)聯(lián)規(guī)則挖掘和空間數(shù)據(jù)分類。
On the basis of studying spatial data mining method, a spatial data mining system is designed and realized, which can obtain spatial association rules and spatial classification rules from gis database . the system consists of two modules engaged in mining spatial association rules and spatial classification rules separately 在研究空間數(shù)據(jù)挖掘方法的基礎(chǔ)上設(shè)計并實現(xiàn)了一個用于從gis數(shù)據(jù)庫中挖掘空間關(guān)聯(lián)規(guī)則和進行空間數(shù)據(jù)分類的空間數(shù)據(jù)挖掘系統(tǒng),該系統(tǒng)可分為兩個模塊,分別進行空間關(guān)聯(lián)規(guī)則挖掘和空間數(shù)據(jù)分類。
Finally, a split algorithm is put forward to calculate the minimum distance between two general nurbs surfaces, in which the technique of splitting the nurbs surfaces and the convergence of control points are used, and spatial classification using the upper & lower bound and the convex hull property of the nurbs surfaces are applied to avoid unnecessary subdivisions 最后,探討了nurbs曲面的分裂技術(shù)與控制網(wǎng)的收斂性問題,充分利用nurbs曲面的凸包性和距離值上下邊界分類的思想,避免大量不必要的細分,提出了一般nurbs曲面間最短距離求解的分裂算法。