Efficiently Finding the Optimum Number of Clusters in a Dataset with a New Hybrid Cellular Evolutionary Algorithm
[摘要] A challenge in hybrid evolutionary algorithms is to employ efficient strategies to cover all the search space, applying local search only in actually promisi...
[发布日期] [发布机构]
[效力级别] [学科分类] 电子、光学、磁材料
[关键词] Clustering;cellular genetic algorithm;micro- evolutionary algorithms;particle swarm optimization;optimal number of clusters. [时效性]
