Ant Clustering 蚁群聚类
Adaptive Ant Clustering 自适应的蚂蚁聚类
fuzzy-ant-clustering algorithm 模糊蚂蚁聚类算法
standard ant clustering algorithm 标准蚁群聚类算法
ant colony clustering algorithm 蚁群聚类算法
ant colony optimization clustering 蚁群优化聚类
ant based clustering algorithm 蚂蚁聚类算法源代码
In present adaptive ant clustering algorithms,the values of adaptive parameters are adjusted by experience,which affects clustering quality.
在现有的自适应蚂蚁聚类算法中,自适应参数的调整往往凭经验取值,从而影响聚类质量。
参考来源 - 改进的蚂蚁聚类入侵检测方法·2,447,543篇论文数据，部分数据来源于NoteExpress
A new heuristic density-based ant colony clustering algorithm (HDACC) is presented.
提出一种基于密度的启发性群体智能聚类算法。
This paper provides a model of the clustering and an optimized ant colony-clustering algorithm which is based on the swarm intelligence and that mathematic model is provided at the same time.
该文通过对现有群体智能理论和聚类算法的研究，提出了一种基于群体智能理论的聚类模型，并在此基础上给出了一种优化蚁群聚类算法。
The paper presents an ant colony clustering algorithm based on directional similarity: ACCADS.
提出了一种基于方向相似性度量的蚁群聚类算法。
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