| 1. | Support vector machines for spatial data classification
一种基于支持向量机的空间数据分类方法 |
| 2. | Semi - supervised support vector machines for data classification
基于半监督支持向量机的数据分类 |
| 3. | Coronary heart disease data classification method based on rough set
一种基于粗糙集的冠心病数据分类方法 |
| 4. | Matching interpolation of images based on 3d data classification
基于物质分类的三维空间断层图像匹配插值 |
| 5. | Firstly , we overview the recent development of data mining and data classification
首先，概述了数据挖掘和数据分类的发展现状。 |
| 6. | Data classification of reduced attributes based on discernibility matrix and discernibility function
基于区分矩阵和区分函数进行属性约简的数据分类 |
| 7. | In this paper the algorithm of the data classification in the data mining is regarded as the main research target
本文以数据挖掘中的数据分类算法为主要研究对象。 |
| 8. | Then we introduced a method of data classification based on extension sets , called extension classification
然后，介绍了在可拓集合理论基础上建立的数据分类的可拓分类方法。 |
| 9. | In / dm has the great ablity of data classification , interactivity and expansibility , which is proved by experiments
实践证实infdm有较强的数据分类能力、可交互性和可扩展性。 |
| 10. | It first introduces the concept of data clustering and data classification . then it discusses eleven methods of cluster analysis
首先介绍聚类和分类的概念，然后讨论了十一种数据聚类方法。 |
