搜索资源列表
function_k_mean_clustering
- k-means聚类算法，并用遗传算法辅助实现聚类的实现。
gaknn2008-12-08
- 本算法是实现基于KNN的基因遗传算法，是对KNN算法的改进，具有更好的分类效果。-gaKnn[Genetic Algorithm Optimized K Nearest Neighbor Classification framework] is a frameowork for KNN optimization with a genetic algorithm.
GA1E1
- 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
gak-means3
- 基于遗传算法的k-means聚类分析代码 欢迎下载-Based on Genetic Algorithm k-means cluster analysis of the code are welcome to download
11111K-means
- 基于遗传算法的K-means算法研究，有相关程序和算法说明。-Genetic Algorithm Based K-means algorithm, related program and algorithm descr iption.
File3
- 数据挖掘，聚类，遗传算法，k-means算法，基于遗传算法的k-means聚类方法。-Data mining, clustering, genetic algorithm, k-means algorithm, based on genetic algorithm k-means clustering method.
genetic(java)
- 遗传算法具有全局搜索的功能，能够克服K-means算法的缺点。-Genetic algorithm global search function to overcome the shortcomings of K-means algorithm.
GA-k-means
- GA-k-means算法 基于遗传算法的k_means聚类方法的研究(33-48)-GA-k-means algorithm
Apriori
- 数据挖掘算法包括Apriori算法源码，遗传算法，神经网络算法-Data mining algorithms Apriori K—means
gak-means
- 遗传算法 优化K均值算法 实现两种算法的优势互补 -Genetic Algorithm K-means algorithm to achieve complementary advantages of the two algorithms
kmeans1
- k均值聚类优化径向基网络中心，遗传算法优化权值，然后用网络进行函数拟合，真实可用-k means clustering for optimizing the center of RBF,GA is used for optimizing the weights.
GA-k-means
- 遗传算法用在聚类方式时，其中的一个重要应用就是k-means算法，本文给出了源代码。-When the genetic algorithm used in the clustering mode, which is an important application of k-means algorithm, this paper presents the source code.
chenxuejing
- 基于kmeans与遗传算法结合的代码，对于新手很有作用，编码采用二进制-Based on k means algorithm combined with genetic code, useful for the novice action, binary encoding
lengsiu_v15
- 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.
kunqui
- 遗传算法无功优化，基于K均值的PSO聚类算法,完整的图像处理课设，包含所有源代码，汽车图像。- Genetic algorithm based reactive power optimization, K-means clustering algorithm based on the PSO, Complete class-based image processing, contains all of the source code, auto image.
data-mining
- 常用的一些数据挖掘算法，包括Apriori,SVM,神经网络，遗传算法，K-means。-some commonly used data-mining algorithms,including Apriori,SVM,Neural Network，Genetic algorithm，K-means
ht666
- 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.
遗传k-means
- 数据挖掘经典算法,遗传算法与K_means算法结合(Data mining classic algorithm)
K-means
- 使用k-means算法对图像进行分割，并利用遗传算法对k-means算法加以改进(The k-means algorithm is used for the segment of images, and the genetic algorithm is used to improve the k-means algorithm)
RBF-k均值聚类
- RBF（径向基神经网络）网络是一种重要的神经网络，RBF网络的训练分为两步，第一步是通过聚类算法得到初始的权值，第二步是根据训练数据训练网络的权值。RBF权值的初始聚类方法较为复杂，比较简单的有K均值聚类，复杂的有遗传聚类，蚁群聚类等，这个RBF网络的程序是基于K均值聚类的RBF代码。(RBF (radial basis function network) is an important neural network. The training of RBF network is divided