搜索资源列表
kmeans
- 基本粒子群优化算法（PSO） 求解优化问题-Elementary particle swarm optimization (PSO) for solving optimization problems
MATLAB
- 编写的粒子群(PSO)算法优化Kmeans聚类的MATLAB代码，MATLAB6.5/7.1测试通过，其它版本没测试。-(PSO)Kmeans MATLAB6.5/7.1
PSO-Clustering
- I ve reviewd 6 paper about PSO with Kmeans Clustring and abstracted them in a ppt file.
Iris_s1
- Kmeans+PSO算法，处理IRIS数据集，输出fitness function的值，和粒子变化的动态图像,亲测可行。-Kmeans based PSO algorithms, dealing with classic dataset iris. the output is the value of fitness function, and the dynamic plot of the change of particle position
PSO-RBF
- 总结常见的RBF网络算法，包括多个例子，亲测可运行。有kmeans-rbf, pso-rbf等方法的实现。-RBF algorithms including several example codes, the kmeans-rbf, pso-rbf etc. I test them all.
PSO_Kmeans
- K-means聚类算法，基于PSO改的聚类算法，对初始点的选择进行优化(K-means clustering algorithm, based on PSO modified clustering algorithm, optimized the selection of the initial point.)
PSO-rbf-kmeans
- pso rbf k-means simulik with matlab(programme d'un pso en hybride avec un rbf)
PSO_kmeans-master
- 利用改进的PSO算法对kmeans算子进行聚类，优化了步骤(The improved PSO algorithm is used to cluster kmeans operators, and the steps are optimized)
PSO优化Kmeans
- 该程序可以实现利用粒子群算法对K-MEANS算法进行优化(This program can optimize k-means algorithm by particle swarm optimization)