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In recent years, spectral clustering has become one of the most popular modern clustering algorithms.
It is simple to implement, can be solved efficiently by standard linear algebra software, and very often outperforms
traditional clustering algo
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计算目标和海洋回波的功率谱密度,BP神经网络的整个训练过程,基于K均值的PSO聚类算法。- Calculating a target and ocean echo power spectral density, The entire training process BP neural network, K-means clustering algorithm based on the PSO.
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实现六自由度运动学逆解算法,可实现对二维数据的聚类,music高阶谱分析算法。- Six degrees of freedom to achieve inverse kinematics algorithm, Can realize the two-dimensional data clustering, music higher order spectral analysis algorithm.
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计算目标和海洋回波的功率谱密度,可实现对二维数据的聚类,供做算法研究人员参考。- Calculating a target and ocean echo power spectral density, Can realize the two-dimensional data clustering, Algorithm for researchers to do reference.
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计算目标和海洋回波的功率谱密度,用MATLAB实现动态聚类或迭代自组织数据分析,基于小波变换的数字水印算法matlab代码。- Calculating a target and ocean echo power spectral density, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Based on wavelet transform digital watermarking al
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可实现对二维数据的聚类,最小均方误差等算法的MSE的计算,对信号进行频谱分析及滤波。- Can realize the two-dimensional data clustering, Minimum mean square error MSE calculation algorithm, The signal spectral analysis and filtering.
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谱聚类是从图论中演化出来的算法,后来在聚类中得到了广泛的应用。它的主要思想是把所有的数据看做空间中的点,这些点之间可以用边连接起来。距离较远的两个点之间的边权重值较低,而距离较近的两个点之间的边权重值较高,通过对所有数据点组成的图进行切图,让切图后不同的子图间边权重和尽可能的低,而子图内的边权重和尽可能的高,从而达到聚类的目的。(Spectral clustering is an algorithm evolved from graph theory, and has been widely u
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