A SOM-Based Document Clustering Using Frequent Max Substrings for Non-Segmented Texts

• 作 者: Todsanai Chumwatana Kok Wai Wo
• 机 构: 不详
• 出 处: 智能学习系统与应用(英文)
• 发表日期: 2010年3期
• 关键词: Frequent MAX SUBSTRING SELF-ORGANIZING Map Document Clustering Frequent Max Subs

This paper proposes a non-segmented document clustering method using self-organizing map (SOM) and frequent max substring technique to improve the efficiency of information retrieval. SOM has been widely used for document clustering and is successful in m