H. Řezanková, D. Húsek, V. Snás̃el, M. Kudelka, O. Lehecka
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引用次数: 0
Abstract
This paper focuses on web pages clustering as a tool for typical Web patterns searching and using. Traditional methods of cluster analysis, self-organizing map and nonnegative matrix factorization were applied. Web pages on products sale and automatically detected Web patterns were used as a testing data. The application of GD-CLS (gradient descent constrained least squares) which combines some of the best features of other methods was evaluated as the best solution.
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