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机译:粒子群优化器在高维数据聚类中实现可变权重
Department of Computer Science, University of Sherbrooke, 2500 Boul. de 1'Universite, Sherbrooke, Quebec, J1K 2R1, Canada,Department of Cognitive Science, Xiamen University, Xiamen, 361005, China;
Department of Computer Science, University of Sherbrooke, 2500 Boul. de 1'Universite, Sherbrooke, Quebec, J1K 2R1, Canada;
Department of Cognitive Science, Xiamen University, Xiamen, 361005, China;
Department of Cognitive Science, Xiamen University, Xiamen, 361005, China;
high-dimensional data; projected clustering; variable weighting; particle; swarm optimization; text clustering;
机译:可变大小的协作共同粒子群优化,用于高维数据的特征选择
机译:使用修改的粒子群优化和环境激励数据进行高维变量的现有桥梁的模型更新
机译:粒子群优化算法及其对高维数据聚类的综述
机译:粒子群优化器在高维数据聚类中实现可变权重
机译:粒子群优化器:在高维数据聚类中的应用。
机译:基于粒子群优化的深度神经网络自动参数选择及其在大规模和高维数据中的应用
机译:粒子群优化器在高维数据聚类中实现可变权重