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With the development of digital cable interactive business and the diversification of the customers' demand, grouping TV programmes based on preferences of users effectively is vital for market segmentation and differentiation. The study summarizes the main principle and characteristic of clustering algorithm, and uses K-Means algorithm to show TV programmes preference grouping based on 52392 subscribers...
The real-time data stream clustering and the detection of clustering boundary is an interesting research work. This paper proposes a clustering algorithm named DDBound with boundary detection ability for grid clustering based on distance and density. DDBound firstly calculates the densities of all grids, and divides them into high-density grids and low-density grids. From all grids, the algorithm...
Recently there have been increasing attentions on the security aspects in Peer-to-Peer (P2P) networks, especially with respect to worm epidemics. However, existing worm containment mechanisms can be largely ineffective due to the long delay exhibited in worm identification and patch generation. In this paper, we propose a new worm containment algorithm based on the concept of overlay partition, which...
An important class of data mining problems is clustering. The traditional clustering algorithm is a kind of hard partition and it parts strictly each object into some cluster. But the real object is not always having distinct attributes, so fuzzy theory is introduced to deal with it. In this paper an improved algorithm is introduced based on the research of fuzzy theory and other clustering algorithms...
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