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yiqun-julei
- 利用蚁群算法实现聚类的功能，效果显著.这里既有文档的说明也有具体的程序。-Ant colony clustering algorithm functions, the effect is significant. Here both the descr iption of the document, there are specific procedures.
clustering-problem-
- 关于matlab解决聚类问题的相关程序，包含蚁群算法和K均值算法，可以一看，部分附带程序，非本人原创。-About matlab to solve clustering problem related procedures, including the ant colony algorithm and K-means algorithm, one can see, some incidental proceedings, not my original.
matlab-bian-ma
- matlab源代码 包括K均值聚类 鱼群算法 模拟退火 蚁群算法 端点检测等-matlab source code, including K-means clustering algorithm simulated annealing ant colony algorithm fish endpoint detection
01
- 应用蚁群优化算法解决聚类问题，效果不错-Application of ant colony optimization algorithm to solve clustering problem, effect is good!
ACA_FCM
- 蚁群算法优化模糊c均值聚类，非本人原创，大家共同学习-Ant colony algorithm to optimize fuzzy c-means clustering, non-my original, we learn together
yiqunjulei
- 蚁群基本聚类算法，用于数据挖掘领域，可以将相似度高的数据聚为一类。-ant colonyvalgorithm can group similar data objects into the same clusters, and the dissimilar ones into different clusters.
AntCluster
- 基于蚁群算法的手写数字聚类方法，可以有效的将多个手写体自动聚类。-Handwritten Digital clustering ant colony algorithm can effectively multiple handwriting automatic clustering.
Ant-clustering-algorithm
- 蚁群聚类算法是基于蚁穴清理行为的聚类算法。 在诸多聚类算法中，蚁群算法是一种较新且较高效率的算法。蚁群算法在数据挖掘聚类中的应用所采用的生物原型为蚁群的蚁穴清理行为和蚁群觅食行为。-Ant clustering algorithm clustering algorithm is based on the nest cleaning action. In many clustering algorithm, ant colony algorithm is a relatively new
Clustering-algorithm-improved
- 基于蚁群算法的聚类算法以及改进的代码，实现聚类算法的优化-Clustering algorithm based on ant colony algorithm and improved code, optimize clustering algorithm
ACO-for-clustering
- 该算法使用蚁群算法进行聚类分析。根据概率选择矩阵对样本进行分类。-ACO algorithm using cluster analysis.
jibenyiqunjulei
- 该算法，解决了不收敛的问题，聚类效果非常好。改进的蚁群算法是基于遗传算法的改进，在基本遗传算法的基础之上，加入了变异因子，产生变异，从而更快的收敛。-The algorithm solves the problem of convergence, and the clustering effect is very good. The improved ant colony algorithm is based on the improvement of genetic algorithm. O
hemuced__ixentifier__influence
- 蚁群算法用于已知数目的聚类问题,解决任务分配等问题()
pnck370
- 蚁群算法用于已知数目的聚类问题,解决任务分配等问题()
m1
- 蚁群算法，云模型，逻辑斯蒂模型，SVM超平面聚类分析(Ant colony algorithm, cloud model, logistic model, SVM hyperplane clustering analysis)