搜索资源列表
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粒子群聚类算法例题及其详细解析-Example particle cluster-like algorithm and its detailed analysis
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标准粒子群优化算法优化（PSO），该代码可以解决高纬空间，包括数据的预处理，及边界检查。可以应用到数据聚类，分类等问题。-Standard particle swarm optimization algorithm optimization (PSO), the code can solve the high-latitude space, including pre-processing of the data, and bounds checking. Can be applied to d
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各种不同拓扑结构下的PSO算法的Matlab源代码，包括全局拓扑，环形拓扑，冯诺依曼拓扑、多种群、四聚类-Different topology structure of PSO algorithm of Matlab source code, including global topology, ring topology, von neumann topology, multiple species, four clustering and so on
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现代信号处理中谱估计在matlab中的使用，内含心电信号数据及运用MATLAB写的源代码，基于K均值的PSO聚类算法。- Modern signal processing used in the spectral estimation in matlab, ECG data and includes source code written in MATLAB, K-means clustering algorithm based on the PSO.
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外文资料里面的源代码，插值与拟合，解方程，数据分析，基于K均值的PSO聚类算法。- Foreign materials inside the source code, Interpolation and fitting, solution of equations, data analysis, K-means clustering algorithm based on the PSO.
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Gabor小波变换与PCA的人脸识别代码，基于K均值的PSO聚类算法,用平面波展开法计算二维声子晶体带隙。- Gabor wavelet transform and PCA face recognition code, K-means clustering algorithm based on the PSO, Computation Method D phononic bandgap plane wave.
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可以实现模式识别领域的数据的分类及回归，基于K均值的PSO聚类算法,做视觉测量的上位机代码。- You can achieve data classification and regression pattern recognition, K-means clustering algorithm based on the PSO, Do Vision Measurement PC code.
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独立成分分析算法降低原始数据噪声，内含心电信号数据及运用MATLAB写的源代码，基于K均值的PSO聚类算法。- Independent component analysis algorithm reduces the raw data noise, ECG data and includes source code written in MATLAB, K-means clustering algorithm based on the PSO.
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可以广泛的应用于数据预测及数据分析,基于K均值的PSO聚类算法,Gabor小波变换与PCA的人脸识别代码。- Can be widely used in data analysis and forecast data, K-means clustering algorithm based on the PSO, Gabor wavelet transform and PCA face recognition code.
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