关键词: 批处理自组织特征映射 隐马尔可夫模型 符号序列聚类

Abstract: In this paper, we propose a model-based, self organizing feature map algorithm for the clustering of variablelength sequences. Hidden Markov models（HMMs） are used as representations for the cluster centers, and batch map training algorithm is applied in c

Key words: Batch map, SOM, Hidden markov model, Symbolic sequence clustering