A comparison of SOM based document categorization systems
作者： X. Luo , A.N. Zincir-Heywood
DOI: 10.1109/IJCNN.2003.1223678
关键词:
摘要: This paper describes the development and evaluation of two unsupervised learning mechanisms for solving automatic document categorization problem. Both are based on a hierarchical structure self-organizing feature maps. Specifically, one architecture is vector space model whereas other code-books model. Results show that latter performs better than first which quality returned clusters.
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