Pattern Recognition Letters - Special issue on fuzzy set technology in pattern recognition
ACM Computing Surveys (CSUR)
An Efficient and Scalable Algorithm for Clustering XML Documents by Structure
IEEE Transactions on Knowledge and Data Engineering
XML Clustering by Principal Component Analysis
ICTAI '04 Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence
Fast Detection of XML Structural Similarity
IEEE Transactions on Knowledge and Data Engineering
Improving the Results and Performance of Clustering Bit-encoded XML Documents
ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
Fast and effective clustering of XML data using structural information
Knowledge and Information Systems
Generalized weighted conditional fuzzy clustering
IEEE Transactions on Fuzzy Systems
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XML documents are the special kind of data having hierarchical structure. Typical clustering algorithms do not meet requirements which may be stated for analysis of such data. A novel, dedicated for XML documents clustering method called Multilevel clustering of XML documents(ML) is presented in the paper. The method clusters feature vectors encoding XML documents on the different structure levels. Application of Conditional Fuzzy C-Meansalgorithm to MLmethod is proposed in the paper and the advantage of this fuzzy method over hard approach to MLalgorithm is discussed and proved. An application of MLmethod to accelerating query execution on XML documents is discussed in the paper. The experimental results performed on two data sets having different characteristics show that the proposed method of multilevel conditional fuzzy clustering of XML documents outperforms hard multilevel clustering.