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Automatic discovery of newsworthy themes from sequenced data can relieve journalists from manually poring over a large amount of data in order to find interesting news. In this paper, we propose a novel $k$<alternatives><inline-graphic xlink:href="fan-ieq1-2685587.gif"/> </alternatives>-Sketch query that aims to find $k$<alternatives><inline-graphic xlink:href="fan-ieq2-2685587.gif"/></alternatives> ...
Hierarchical clustering has received a great amount of attention due to the capability of capturing hierarchical cluster structure in an unsupervised way. Despite great success, most of the existing hierarchical clustering algorithms have some drawbacks: (1) difficulty in selecting clusters to merge or split, (2) inefficient and inaccurate cluster validation, (3) limitation to only linearly separable...
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