Text Clustering Based on Self-organizing Map
ZHANG Yumin,XIE Kanglin (Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai 200030)
This paper reports the implementation of document clustering based o n Self-organizing map. The map can be labeled with automatically identified desc riptive words that convey properties of each area. The paper also evaluates the average accuracy of this method. Because of the low accuracy, it presents incorp orating the tf·idf term weighting method into the input document vectors to in crease the average accuracy.
【CateGory Index】： TP391.1