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genetic algorithm combine Ant colony optimization for feature selection,genetic algorithm combine Ant colony optimization for feature selection
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Cluster analysis one of the several important tools in
modern data analysis, and the clustering can be regarded
as an optimization problem. The underlying assumption is
that there are natural tendencies of cluster or group
structure in the da
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一种改进的基于蚁群算法的图像边缘检测文献，前沿论文-ant colony system,matlab
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ant colony feature selection
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蚁群优化算法，可用于特征选择，适用于模式识别-Ant colony optimization algorithm can be used for feature selection for Pattern Recognition
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基于蚁群算法的机器人路径规划，以及参考的多特征融合的人脸识别的论文。-Based on ant colony algorithm for robot path planning, as well as the reference of multi feature fusion of face recognition papers
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蚁群算法用与特征选择，针对传统蚁群聚类算法收敛速度过慢的问题，提出一种对蚁群算法进行改进的聚类算法。而数据的高维使数据具有稀疏、不可聚集等特性，使聚类算法实验效果精度低和耗时大，将邻域特征选择与聚类算法结合，提出了一种蚁群聚类优化的邻域特征选择算法(Ant colony algorithm and feature selection)
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feature selection using ant colony optimization
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