Improved SOM Algorithm-EDSOM Applied in Text Clustering

摘要：

SOM neural network is one of the most commonly used clustering algorithom in the text clustering field, but the learning strategies of SOM Network Clustering does not pursue the goal of the text clustering -the smallest deviation of the clusters, so it is very difficult to get the clusters with the smallest deviation. According to the principle of equal deviation, this paper presents an improved learning strategy: introduce equal cluster deviation theory into the learning process of SOM neural network, guide SOM neural network learning through adjusting the cluster deviation to be equal, with an expect to get clusters with the smallest deviation.The experimental results show that: by the measurement of the average accuracy, the algorithm shows a good performance.

关键词： text clustering SOM neural network equal deviation average accuracy

作者: SUN Ai-xiang YU Xiu-yan

作者单位: Management institute Shandong University of Technology Zibo China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 42-44

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）