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聚类和群智能优化算法的自动剪枝方法目录一、聚类和群智能优化算法简介................................31.1聚类算法简介.........................................31.1.1K均值聚类........................................41.1.2层次聚类.........................................71.2群智能优化算法简介...................................81.2.1粒子群优化.......................................91.2.2蚁群优化........................................101.2.3模拟退火优化....................................11二、自动剪枝方法介绍.......................................122.1剪枝方法的定义和作用................................132.2自动剪枝方法的关键步骤..............................142.2.1选择剪枝策略....................................152.2.2确定剪枝阈值....................................172.2.3评估剪枝效果....................................18三、基于聚类的自动剪枝方法.................................183.1K-均值聚类的自动剪枝方法............................203.1.1选择剪枝策略....................................203.1.2确定剪枝阈值....................................223.1.3评估剪枝效果....................................233.2层次聚类的自动剪枝方法..............................243.2.1选择剪枝策略....................................253.2.2确定剪枝阈值....................................263.2.3评估剪枝效果....................................273.3DBSCAN聚类的自动剪枝方法............................283.3.1选择剪枝策略....................................283.3.2确定剪枝阈值....................................303.3.3评估剪枝效果....................................31四、基于群智能优化算法的自动剪枝方法.......................324.1粒子群优化的自动剪枝方法............................334.1.1选择剪枝策略....................................334.1.2确定剪枝阈值....................................344.1.3评估剪枝效果....................................364.2蚁群优化的自动剪枝方法..............................374.2.1选择剪枝策略....................................384.2.2确定剪枝阈值....................................394.2.3评估剪枝效果....................................404.3模拟退火优化的自动剪枝方法..........................414.3.1选择剪枝策略....................................424.3.2确定剪枝阈值....................................434.3.3评估剪枝效果....................................44五、
