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—Community detection is an important task for mining the structure and function of complex networks. Many pervious approaches are difficult to detect communities with arbitrary size and shape, and are unable to identify hubs and outliers. A recently proposed network clustering algorithm, SCAN, is effective and can overcome this difficulty. However, it(More)
— Geographic routing is a promising approach for point-to-point routing in wireless sensor networks, but it requires the availability of geographic coordinates. Location devices like GPS do not work indoors and they are often not cost-effective for ubiquitous deployment on a large scale. While it is possible to manually configure coordinates for small(More)
This study proposes a novel method to group and organize search results. We apply statistical techniques to term co-occurrence information in a corpus to retrieve bi-grams firstly, and then combine bi-grams into n-grams. After eliminating redundant n-grams, the remaining ones are ranked and selected as cluster labels. Base clusters are constructed according(More)