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Until recently, the underlying genetic mechanisms for coronary artery disease (CAD) have been largely unknown, with just a list of genes identified accounting for very little of the disease in the population. Hence, a systematic dissection of the sophisticated interplays between these individual disease genes and their functional involvements becomes essential. Here, we presented a novel knowledge-based...
A document is represented as an event network, the nodes represent events, and the edges represent the correlations between events. Our experiment shows that the event network has the small-world properties, i.e., highly clustered and short path length. We pick out important events according to event's importance to make the event network small. Our experiment shows that these important events can...
Based on discrete Hermite-Gaussian-like functions, a discrete fractional Fourier transform (DFRFT), which provides sample approximations of the continuous fractional Fourier transform, was defined and investigated recently. In this paper, we propose a novel nearly tridiagonal matrix, which commutes with the generalized discrete Fourier transform (GDFT) matrix. It doesn't has repeated eigenvalue. We...
The discrete formal FRFT is difficult to obtained by the directly sampling the continuous FRFT because the kernel function of the continuous fractional Fourier transform (FRFT) exhibits drastic oscillation and the oscillation amplitude has the distinct difference from the different order of the FRFT. Discrete FRFT has been intensively investigated recently and many definitions of the discrete FRFT...
Firstly, a new clustering algorithm based on hyper surface (CHS) is put forward in this paper. CHS needs no domain knowledge to determine input parameters. However, it is difficult to process locally dense data for CHS. Then, an efficient clustering algorithm CHSMST is proposed, which is based on CHS and minimum spanning tree. In the first step, CHSMST applies CHS to obtain initial clusters. After...
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