Computing Concept Lattices with Clustering Approaches

摘要：

Finding the concepts in formal concept context is time-consuming, which is a NP problem. In this paper, hierarching conceptual clustering analysis based on distance function is investigated, under this clustering, we only check the some subset of feature set instead of all of them, which largely reduces the computing steps in finding the concepts, we pave a way to explore concept lattice with clustering approaches.

关键词： Fuzzy clustering Concept lattice Data mining.

作者: Lishi Zhang Dehong Wang Xiaodong Liu

作者单位: Research Center of Information and Control, Dalian University of Technology, Dalian 116024, P. R. Ch School of Science, Dalian Fisheries College, Dalian 116024, P. R. China Research Center of Information and Control, Dalian University of Technology, Dalian 116024, P. R. Ch

会议类型: 国际会议

会议名称: The 2007 International Conference on Intelligent Systems and Knowledge Engineering(第二届智能系统与知识工程国际会议)

会议地点: 成都

会议语种:英文

页码: 898-904

在线出版日期: 2007-10-15（万方平台首次上网日期，不代表论文的发表时间）