THE FORMAL CONCEPT ANALYSIS OF THE DOCUMENTS CLUSTERS

摘要：

In this paper, an method based on formal concept analysis for explaining the document clustering result Is presented.In order to decrease the number of objects In formal concept analysis, the documents is clustered by high dimensional sparse clustering approach.The clusters are considered as the objects of formal coolest; The attributes set is the characters set of centroid vectors.The concept lattice of this formal contest is builded by the Ganter algorithm.From the line graph of the concept lattice with respect to the formal context, we can explain that why some documents are clustered, and find the content of those documents In the each cluster.

关键词： Document cluster formal concept analysis concept lattice high dimensional sparse cluster.

作者: HUI-FENG SHI QIANG HUA PO ZHANG

作者单位: School of Mathematics and Physics, North China Electric Power University, Baoding 071003, China Faculty of Mathematics and Computer Science, Hebei University, Baoding 071002, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 3381-3385

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）