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Hierarchical Clustering of WWW Image Search Results Using Visual, Textual and Link Information

In this paper, we propose a hierarchical clustering method using visual, textual and link analysis. By using a vision-based page segmentation algorithm, a web page is partitioned into blocks, and the textual and link information of an image can be accurately extracted from the block containing that image.

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