零基础学 R 语言数据分析：从机器学习、数据挖掘、文本挖掘到大数据分析
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4.2 低级绘图 ...........................................................................................................................30
4.3 交互式绘图 .......................................................................................................................31
4.4 图形参数 ...........................................................................................................................32
4.5 基本统计 ...........................................................................................................................34
第 5 章 相关程序包的介绍.................................................................................................. 39
5.1 机器学习 ...........................................................................................................................39
5.2 数据挖掘 ...........................................................................................................................40
5.3 社交网络分析及文本挖掘 ...............................................................................................40
5.4 大数据分析 .......................................................................................................................41
5.5 程序包的介绍 ...................................................................................................................41
第 6 章 监督式学习 ............................................................................................................ 51
6.1 决策树 ............................................................................................................................... 51
6.2 支持向量机 .......................................................................................................................61
6.3 人工神经网络 ...................................................................................................................65
6.4 组合方法 ...........................................................................................................................70
6.4.1 随机森林 ................................................................................................................70
6.4.2 推进法 ....................................................................................................................71
第 7 章 无监督式学习......................................................................................................... 72
7.1 层次聚类法 .......................................................................................................................72
7.2 K 平均聚类算法 ..............................................................................................................75
7.3 模糊 C 平均聚类算法.......................................................................................................77
7.4 聚类指标 ...........................................................................................................................83
第 8 章 进化式学习 ............................................................................................................ 86
8.1 基因算法 ...........................................................................................................................86
8.2 人工蜂群算法 ...................................................................................................................92
