天体光谱数据挖掘与分析

第1 章 绪论······················································································ 1
1.1 天体光谱·············································································· 1
1.1.1 LAMOST 光谱巡天·························································· 2
1.1.2 SDSS 光谱巡天································································ 5
1.1.3 光谱分析········································································ 6
1.2 数据挖掘·············································································· 7
1.2.1 产生和定义····································································· 7
1.2.2 数据挖掘任务与分类······················································ 10
1.2.3 主要应用······································································ 12
1.3 海量天体光谱数据挖掘······················································ 14
1.3.1 分类············································································ 14
1.3.2 聚类及离群分析···························································· 17
1.3.3 关联规则······································································ 19
1.3.4 恒星大气参数测量························································· 20
1第2 章 基于模糊识别的双红移系统星系光谱搜寻与分析·············· 24
2.1 引言···················································································· 25
2.2 基于模糊识别的搜寻方法·················································· 27
2.2.1 样本选择······································································ 27
2.2.2 方法描述······································································ 28
2.3 结果分析············································································ 35
2.3.1 SDSS DR9 和LAMOST DR1 中SGPs 样本························· 35
2.3.2 光谱与图像分析···························································· 39
2.3.3 尘埃消光测量································································ 48
2.4 讨论···················································································· 51
第3 章 稀有光谱检索的PU 学习方法············································ 53
3.1 问题提出············································································ 54
3.2 二部排序模型····································································· 56
3.2.1 TopPush 方法································································ 57
3.2.2 面向稀有光谱检索的BaggingTopPush 方法························ 58
3.3 实验设计············································································ 59
3.3.1 样本选择······································································ 60
3.3.2 实验设置······································································ 61
3.3.3 评价指标······································································ 64
3.4 结果分析············································································ 65
3.4.1 排序效果······································································ 65
3.4.2 排序效率······································································ 72
3.4.3 参数敏感性··································································· 74
3.5 讨论···················································································· 76
第4 章 E A 星系搜寻与分析·························································· 78
4.1 问题提出············································································ 78
4.2 E A 星系光谱搜寻方法······················································ 80
4.2.1 样本选择—LAMOST 数据集········································· 80
4.2.2 搜寻方法······································································ 80
4.2.3 近邻E A 星系星表························································ 83
4.3 结果分析············································································ 87
4.3.1 样本分布特征································································ 87
4.3.2 星族合成分析································································ 90
4.3.3 图像分析······································································ 92
4.4 讨论···················································································· 95
第5 章 基于贝叶斯支持向量机的光谱分类方法····························· 98
5.1 问题提出············································································ 98
5.2 基于贝叶斯支持向量机的分类方法·································· 100
5.2.1 支持向量机······
【书摘与插画】