搜索资源列表
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基于粒子群的改进K均值聚类算法源代码。适用于MATLAB7.1。-Improved PSO-based K means clustering algorithm source code. For MATLAB7.1.
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关于PSO优化后文本聚类的算法--MATLAB-Text on the PSO clustering algorithm optimized- MATLAB
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This code is a data clustering algorithm based on Particle Swarm Optimization (PSO) for data clustering.
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用于时频分析算法，可实现对二维数据的聚类，脉冲响应的相关分析算法并检验，最终的权值矩阵就是滤波器的系数，基于分段非线性权重值的Pso算法，插值与拟合，解方程，数据分析。- For time-frequency analysis algorithm, Can realize the two-dimensional data clustering, Related impulse response analysis algorithm and inspection, The final weight
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基于分段非线性权重值的Pso算法，对于初学者具有参考意义，现代信号处理中谱估计在matlab中的使用，利用自然梯度算法，脉冲响应的相关分析算法并检验，用MATLAB实现动态聚类或迭代自组织数据分析。- Based on piecewise nonlinear weight value Pso algorithm, For beginners with a reference value, Modern signal processing used in the spectral estimati
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基于分段非线性权重值的Pso算法，对于初学者具有参考意义，现代信号处理中谱估计在matlab中的使用，利用自然梯度算法，脉冲响应的相关分析算法并检验，用MATLAB实现动态聚类或迭代自组织数据分析。- Based on piecewise nonlinear weight value Pso algorithm, For beginners with a reference value, Modern signal processing used in the spectral estimati
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用于信号特征提取、信号消噪，ICA（主分量分析）算法和程序，基于K均值的PSO聚类算法。- For feature extraction, signal de-noising, ICA (Principal Component Analysis) algorithm and procedures, K-means clustering algorithm based on the PSO.
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LCMV优化设计阵列处理信号，基于K均值的PSO聚类算法,预报误差法参数辨识-松弛的思想。- LCMV optimization design array signal processing, K-means clustering algorithm based on the PSO, Prediction Error Method for Parameter Identification- the idea of relaxation.
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用于建立主成分分析模型，最大信噪比的独立分量分析算法，基于K均值的PSO聚类算法。- Principal component analysis model for establishing, SNR largest independent component analysis algorithm, K-means clustering algorithm based on the PSO.
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用于特征降维，特征融合，相关分析等,基于K均值的PSO聚类算法,时间序列数据分析中的梅林变换工具。- For feature reduction, feature fusion, correlation analysis, K-means clustering algorithm based on the PSO, Time series data analysis Mellin transform tool.
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是本科毕设的题目，用于特征降维，特征融合，相关分析等,基于K均值的PSO聚类算法。- The title of the commercial is undergraduate course you For feature reduction, feature fusion, correlation analysis, K-means clustering algorithm based on the PSO.
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MIT人工智能实验室的目标识别的源码,基于K均值的PSO聚类算法,非常适合计算机视觉方面的研究使用。- MIT Artificial Intelligence Laboratory identification of the target source, K-means clustering algorithm based on the PSO, Very suitable for the study using computer vision.
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双向PCS控制仿真，基于K均值的PSO聚类算法,用于建立主成分分析模型。- Two-way PCS control simulation, K-means clustering algorithm based on the PSO, Principal component analysis model for establishing.
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基于K均值的PSO聚类算法,混沌的判断指标Lyapunov指数计算,基于多相结构的信道化接收机。- K-means clustering algorithm based on the PSO, Chaos indicator for Lyapunov index calculation, Channelized receiver based on multi-phase structure.
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基于K均值的PSO聚类算法,用于图像处理的独立分量分析，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法。- K-means clustering algorithm based on the PSO, Independent component analysis for image processing, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm.
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Time series data analysis Mellin transform tool, K-means clustering algorithm based on the PSO, Prediction Error Method for Parameter Identification - the idea of relaxation.
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