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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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粒子群聚类算法：改进原有PSO算法，加速收敛迭代达到全局最优点-Particle clustering algorithms: the original PSO algorithm to improve and accelerate convergence to the global optimal point iteration
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聚类的PSO算法，很重要的方法，很好的算法-PSO clustering algorithm, a very important way, a good algorithm
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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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In this paper, a novel Discrete Particle Swarm Optimization Algorithm
(DPSOA) for data clustering has been proposed. The particle positions and velocities
are defined in a discrete form. The DPSOA algorithm uses of a simple probability
approach
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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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基于K均值的PSO聚类算法,用于图像处理的独立分量分析，基于混沌的模拟退火算法。- K-means clustering algorithm based on the PSO, Independent component analysis for image processing, Chaos-based simulated annealing algorithm.
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主要是基于mtlab的程序，基于K均值的PSO聚类算法,实现了图像的灰度化并进一步用于视频监视控。- Mainly based on the mtlab procedures, K-means clustering algorithm based on the PSO, Achieve a grayscale image and further control for video surveillance.
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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，包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度,基于K均值的PSO聚类算法。- Principal component analysis model for establishing, Including Deng s correlation, absolute correlation, correlation of slope, improved absolute correlation, K-means clustering algorithm based o
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预报误差法参数辨识-松弛的思想，做视觉测量的上位机代码,基于K均值的PSO聚类算法。- Prediction Error Method for Parameter Identification- the idea of relaxation, Do Vision Measurement PC code, K-means clustering algorithm based on the PSO.
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基于kaiser窗的双谱线插值FFT谐波分析，基于K均值的PSO聚类算法,对于初学matlab的同学会有帮助。- Dual-line interpolation FFT harmonic analysis kaiser windows, K-means clustering algorithm based on the PSO, Matlab for beginner students will help.
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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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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，包括脚本文件和函数文件形式。- K-means clustering algorithm based on the PSO, Prediction Error Method for Parameter Identification- the idea of relaxation, Including scr ipt files and function files in the form.
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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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粒子群算法，用于聚类.粒子群在迭代进行的过程中有可能出现早熟收敛
的问题而陷入局部最优解,因此文中在 PSO 算法部 分,设置两个变量对每个粒子和粒子群的状态进行实 时地监控,以便当检测到粒子或粒子群出现早熟收敛 现象时,能及时地对其进行变异操作,增加粒子的多样 性,使其跳出局部极值的束缚,在多维解空间中开始新 的搜索(C_PSO used for clustering)
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