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2下载：
用Ｋ均值和遗传算法实现了半监督聚类算法，这是个一个已经发表的论文的源程序-Using K-means and genetic algorithm to achieve a semi-supervised clustering algorithm, this is a paper published source
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数字识别采用多种算法：聚类算法，遗传算法-Digital Identification using a variety of algorithms: clustering algorithm, genetic algorithm ...
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遗传算法优化模糊聚类算法，形成全部最优，克服初始值敏感问题。-By using the genetic algorithm to optimize the fuzzy clustering, form the overall convergence, contains brief code, choice, cross, the variation, FCM algorithm, etc.
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运用遗传优化算法优化模糊C均值聚类，通过全局自适应寻优，寻找出更为精确的模糊聚类中心-Using genetic optimization algorithm to optimize the fuzzy C-means clustering, global adaptive optimization to find a more precise fuzzy clustering center
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there is a new approach Using in Wireless sensor network to Clustering, in this approach we use GA algorithm to optimize the lifetime of network.
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用matlab编写用遗传算法改进的模糊聚类算法的程序，-Prepared using matlab genetic algorithm fuzzy clustering algorithm procedures,
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Design a feedforward network is u
dehaze algorithms review
path planning using GA and ACO...
The neural network adaboost stron
TS neural network m files, fast c
bp neural network, written with C
Bayes net and memory based learni
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1下载：
Design a feedforward network is u
dehaze algorithms review
path planning using GA and ACO...
The neural network adaboost stron
TS neural network m files, fast c
bp neural network, written with C
Bayes net and memory based learni
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模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最终的分类结果。-Fuzzy C- means algorithm is easy to converge to a local minimum point, in order to overcome this drawback, the genetic algorithm is applied to fuzzy C- me
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这是遗传算法改进的模糊C-均值聚类MATLAB源代码,由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最终的分类结果。-This is the MATLAB source code of the improved fuzzy c-means clustering(FCM) based on the genetic algorithm(GA).The initial cluster centers are otained through GA,and the final clust
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用MATLAB编写的遗传算法路径规划，分形维数计算的毯子算法matlab代码,基于欧几里得距离的聚类分析。- Genetic algorithms using MATLAB path planning, Fractal dimension calculation algorithm matlab code blankets, Clustering analysis based on Euclidean distance.
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optimization using Genetic algorithm along with k-means clustering
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数值分析的EULER法，遗传算法无功优化，用MATLAB实现动态聚类或迭代自组织数据分析。- EULER numerical analysis method, Genetic algorithm based reactive power optimization, Using MATLAB dynamic clustering or iterative self-organizing data analysis.
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用MATLAB实现动态聚类或迭代自组织数据分析，遗传算法无功优化，matlab程序运行时导入数据文件作为输入参数。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, Genetic algorithm based reactive power optimization, Import data files as input parameters matlab program is runnin
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用MATLAB编写的遗传算法路径规划，使用混沌与分形分析的例程，基于K均值的PSO聚类算法。- Genetic algorithms using MATLAB path planning, Use Chaos and fractal analysis routines, K-means clustering algorithm based on the PSO.
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clustering using Genetic algorithm
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本科毕设要求参见标准测试模型，基于K均值的PSO聚类算法,用MATLAB编写的遗传算法路径规划。- Undergraduate complete set requirements refer to the standard test models, K-means clustering algorithm based on the PSO, Genetic algorithms using MATLAB path planning.
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Improved genetic algorithm and fuzzy C- means clustering MATLAB source. The fuzzy C- means algorithm is easy to converge to local minima, in order to overcome the shortcomings of the genetic algorithm is applied to fuzzy C- means algorithm (FCM) opti
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遗传算法改进的模糊C-均值聚类MATLAB源码.模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最优分类结果。(Improved genetic algorithm and fuzzy C- means clustering MATLAB source. The fuzzy C- means algorithm is easy to converge to local m
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