概念聚类,conceptual clustering
Concept Clustering概念聚类
1.Focused on the issue of knowledge sharing in organization knowledge management,a knowledge map model used knowledge space triple(Knowledge,Property,Relation) as context is presented,and a concept clustering model and algorithm of knowledge map is given to build knowledge map and the Hasse diagram.针对组织知识管理中知识共享问题,运用知识地图作为工具来促进知识共享,建立了以知识空间三元组(知识、属性、关系)为背景的知识地图模型,并设计了一种知识地图的概念聚类算法。
2.Focusing on the issue of knowledge share in organization knowledge management,a knowledge map model used knowledge space triple(Knowledge,Property,Relation) as context is given to build knowledge map,which based on some concept clustering algorithm.本文基于概念聚类的基本算法,针对组织知识管理中知识共享问题,建立一个以知识空间三元组(知识、属性、关系)为背景的知识地图模型。
3)concept cluster概念聚类
1.Aiming at automatic indexing and user s retrieval requests in information retrieval, a kind of concept space technology, concept association and concept cluster algorithms based on hopfield neural network are introduced in this paper.本文针对信息检索中自动标引和用户的检索提问问题 ,介绍了一种概念空间技术以及采用Hopfield神经网络进行概念联想与概念聚类的算法 ,并对其中部分算法进行了模拟和实验 ,针对存在的问题提出了改进方法 ,并通过数据说明其可行
4)Incremental conceptual clustering增量概念聚类
5)conceptual clustering mechanism概念聚类机制(CCM)
6)dynamic conceptual clustering动态概念聚类
1.A new criterion function based on semantic distance is proposed in this paper, and a novel domain based dynamic conceptual clustering algorithm (DDCA) is also presented.定义了一种基于语义的距离判定函数 ,结合领域知识对连续属性值进行概念化处理 ,对于用分类属性和数值属性混合描述数据对象的情况 ,提出了一种动态概念聚类算法 DDCA(domain- based dynamic clustering algorithm) 。
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