1) Ant Pile-based Clustering
基于蚁堆原理的聚类算法
1.
the Application and Research on Data Ming Using Ant Pile-based Clustering;
基于蚁堆原理的聚类算法在数据挖掘中的应用研究
2) density-based spatical clustiny of application with noise(DBSCAN)
基于密度的聚类算法(DBSCAN)
3) mesh-based clustering algorithm
基于网格的聚类算法
1.
This paper proposed a novel approach of clustering algorithms from a new point of view,which by name of mesh-based clustering algorithm.
以新产品开发策划中的新产品市场定位为研究对象,提出了一种基于网格的聚类算法(mesh-based clustering algorithm,MCA)。
4) DBSCAN (Density Based Spatial Clustering of Applications with Noise)
基于密度的聚类算法(DBCSAN)
5) GBAS
基于图的蚂蚁算法
1.
So, an ant optimization algorithm-GBAS(Graph-Based Ant System) is proposed, in which the problem is firstly abstracted as a directed graph, a group of ants then traverse on the directed graph repeatedly simulating the behavior of foraging, and the optimization solution can be obtained in the end.
为此,提出了一种用于求解连续函数最大值的蚂蚁优化算法—基于图的蚂蚁算法。
6) ant colony clustering algorithm
蚁群聚类算法
1.
Investigation and application of ant colony clustering algorithms;
蚁群聚类算法研究及应用
2.
Research on module partition method for mass customization based on ant colony clustering algorithm;
基于蚁群聚类算法的大规模定制产品模块划分研究
3.
The Research of WEB Usage Mining Using Ant Colony Clustering Algorithm;
蚁群聚类算法在WEB使用挖掘中的应用研究
补充资料：蚁聚
1.亦作"蚁聚"。 2.如蚂蚁般聚集。比喻结集者之多。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条