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基本粒子群优化算法
遗传算法，基于聚类，梯度，最小二乘法的RBF网络程序等5个代码-Elementary particle swarm optimization algorithm genetic algorithm, based on clustering, gradient, least-squares method of RBF network program such as 5 code
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A distributed PSOSVM hybrid system with feature selection and parameter optimization
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This study proposed a novel PSO–SVM model that hybridized the particle swarm optimization (PSO) and support vector machines (SVM) to
improve the clas
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对粒子群进行优化算法求优并进行LBG算法的运行-Particle swarm optimization algorithm and the LBG algorithm find optimal operation
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Data clustering using particle swarm optimization Data clustering using particle swarm optimization
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PSO formal Data clustering using particle swarm optimization
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针对传统推荐算法的数据稀疏性问题和推荐准确性问题，提出基于粒子群优化的项聚类推荐算法。采用粒子群优化算法产生聚类中心，在此基础上搜索目标项目的最近邻居，并产生推荐，从而提高了传统聚类算法的推荐准确性及响应速度。实验表明改进的项聚类协同过滤算法能有效提高推荐精度-Aiming at the problems that the data are sparse and the results are not accurate in traditional recommendation algorith
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引入能够处理混合型数据的K-prototypes聚类算法，在此基础上构造了一种基于粒子群优化算法和K-prototypes方法的混合聚类算法-this paper employs the K-prototypes clustering algorithm to deal with mixed valued data, and designs a hybrid clustering algorithm based on particle swarm optimization algorithm a
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义了一个欧氏距离和监督信息相混合的新的最近邻计算函数，从而将K一均值算法很好地应用于半
监督聚类问题。针对K一均值算法初始质心敏感的缺陷，用粒子群算法的搜索空间模拟聚类的欧氏空间，迭代搜
索找到较优的聚类质心，同时提出动态管理种群的策略以提高粒子群算法搜索效率。算法在UCI的多个数据集
上测试都得到了较好的聚类准确率。-Righteousness of a Euclidean distance and supervision of a mixture of new nearest n
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一种较ACO、ABC算法优越的 PSOclustering-a particle swarm optimization approach to clustering
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An efficient hybrid data clustering method based on K-harmonic means and Particle Swarm Optimization
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MATLAB智能算法30个案例分析，109页的详细讲解，程序和程序注解，可以直接复制代码。包括遗传算法，基于遗传算法和非线性规划的函数寻优算法，遗传算法工具箱详解及应用，多种群遗传算法的函数优化算法， 基于粒子群算法的多目标搜索算法，基于多层编码遗传算法的车间调度算法，基于遗传模拟退火算法的聚类算法，蚁群算法，支持向量机等等30章。-MATLAB intelligent algorithm 30 case studies, 109 detailed explanations, procedur
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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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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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基于分解的多目标离散PSO在复杂网络聚类中的应用-Complex Network Clustering by Multiobjective Discrete Particle Swarm Optimization Based on Decomposition
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here I insert source code for clustering ordinal data with Modified fuzzyc-means with particle swarm for optimization.
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基于粒子群优化的项目聚类算法，讲粒子群算法和聚类算法结合-请输入您要翻译的文字内容或网页地址,回车即可翻译
基于粒子群优化的项目聚类算法，讲粒子群算法和聚类算法结合基于粒子群优化的项目聚类算法，讲粒子群算法和聚类算法结合
ON划词翻译ON实时翻译基于粒子群优化的项目聚类算法，讲粒子群算法和聚类算法结合
Particle swarm optimization project clustering algorithm based on particle swarm optimiza
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This code is a data clustering algorithm based on Particle Swarm Optimization (PSO) for data clustering.
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遗传算法优化BP神经网络、改进的模糊C-均值聚类、遗传算法（粒子群算法、人工鱼群算法等）的投影寻踪模型等遗传算法的简单集合。-Genetic algorithm to optimize the BP neural network, an improved fuzzy C- average clustering and genetic algorithm,(particle swarm optimization (pso), artificial fish algorithm, etc.) of
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基于人工免疫pso的聚类算法，人工免疫的粒子群优化算法-Clustering algorithm based on artificial immune pso, artificial immune particle swarm optimization algorithm
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遗传算法和粒子群算法，应用于优化据数据集的聚类中心，结合FCM算法应用聚类分析的几篇文献。-Genetic algorithm and particle swarm optimization (pso) algorithm, are applied to optimization the clustering center of the data set
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