1) sentence clustering recognition
语句聚类识别
1.
In view of the clustering phenomenon of natural language as well as the demand for dynamic alternation of knowledge architecture, a dynamic knowledge extraction method based on sentence clustering recognition is put forward in this paper.
根据自然语言的群集现象和对知识体系动态更新的要求 ,该文提出了一种基于语句聚类识别的知识动态提取方法 。
2) ant algorithm
聚类识别
1.
Multi-character cluster recognition based on ant algorithm;
基于蚁群算法的多字符聚类识别
3) English identifying clause
英语识别小句
1.
The English identifying clause can be described by the Token-Value configuration.
“标记—价值”语法配置结构是描述英语识别小句的一种方式。
4) classify and cluster
识别和聚类
1.
The results show that it is feasible to adopt each group of features introduced in the article to classify and cluster all specimens with no less than 88.
试验结果表明:利用优选的各组特征能够实现对全部试样组织形态的良好识别和聚类,识别率不低于88。
5) fuzzy clustering recognition
模糊聚类识别
1.
Taking into account the fuzziness in the process of partitioning and grading of water quality condition of lake in arid area,this paper integrated two fuzzy clustering analysis methods,transitive closure method based on fuzzy clustering analysis(TCM) and fuzzy clustering analysis of ISODATA,and one fuzzy clustering recognition method into a composite model of fuzzy clustering and pattern recognit.
针对干旱区草型浅水湖泊水环境状态区划和评价分级过程中存在的模糊性,将基于模糊等价关系的传递闭包法、模糊划分的ISODATA技术与模糊模式识别方法有机结合形成模糊聚类识别复合模型。
6) pattern recognition / clustering
模式识别/聚类
补充资料：转子语句和返回语句
主程序调用子程序以及从子程序返回主程序的语句。调用子程序的语句为转子语句，从子程序返回调用程序的语句为返回语句。在basic语言中，每次调用子程序时，必须成对使用，缺一个就会产生语法错误。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条