利用数据点的密度大小作为权值，借助数据本身的分布特性，提出了一种点密度加权模糊c -均值算法。

A dot density weighted fuzzy C-means algorithm is proposed by using density size of data dot regarded as weighted value and distributing characteristic of datas own.

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提出了基于一阶低通通信连接特性的线性一致算法和基于加权连接的非线性一致算法。

A linear consensus algorithm based on communication links of first-order low-pass characteristic function and a nonlinear consensus algorithm based on weighted links were proposed.

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基于人眼视觉特性的加权因子改变编码位序而不是编码值，该算法有更快的编码速度以及较好的压缩效果。

The human visual weighting factor change the order of coding rather than the value of coding. The algorithm has much faster coding speed and better compression effect.

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