Li, Jiang-Hua; Yang, Shu-xin; Liu, Li-feng Document clustering based on concept lattice. (Chinese. English summary) Zbl 1180.68140 J. Comput. Appl. 28, No. 9, 2328-2330 (2008). Summary: It is still difficult to deal with the dimension catastrophe, the sparse vector, and random selection of initial center in standard K-Means algorithm. A new clustering method based on concept lattice without evaluation function is proposed in this paper. Finally, an experiment is given. The results clearly show the outstanding performance of the proposed method in terms of correctness and efficiency. MSC: 68P20 Information storage and retrieval of data 68T10 Pattern recognition, speech recognition Keywords:document clustering; K-means; criterion function; concept lattice PDF BibTeX XML Cite \textit{J.-H. Li} et al., J. Comput. Appl. 28, No. 9, 2328--2330 (2008; Zbl 1180.68140) Full Text: DOI Link