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图0-10 叙利亚战争中阿勒颇市的城市破坏情况估计图
![](https://epubservercos.yuewen.com/BB22A3/29497588903344006/epubprivate/OEBPS/Images/3_02.jpg?sign=1739044673-caoEMwFrF7xJ2fLuKDmCqffTe2qzbfXh-0-865fcc5a231122068327da105a918b1a)
图2-3 聚类示意图
![](https://epubservercos.yuewen.com/BB22A3/29497588903344006/epubprivate/OEBPS/Images/4_01.jpg?sign=1739044673-3kwMjc8ohPHD0U7bf5krQmJB4k93VXE1-0-b4b9c673f362ffb16d47e4ba1ed2657d)
图2-6 学习曲线(横轴为训练样本数,纵轴为准确率)
![](https://epubservercos.yuewen.com/BB22A3/29497588903344006/epubprivate/OEBPS/Images/4_02.jpg?sign=1739044673-3bLkzgCB1pDsVJxNCGp7mG1JrcpDBUZm-0-68000c6381edf97f11ac59bd09a92439)
图2-7 学习曲线(横轴为训练样本数,纵轴为相应误差)
![](https://epubservercos.yuewen.com/BB22A3/29497588903344006/epubprivate/OEBPS/Images/5_01.jpg?sign=1739044673-WdT3zEEC0gkpspmcUozMouwRElEU3lxz-0-5de049121950370fa3907a18a0dab16c)
图4-2 K-Means算法流程示意图
![](https://epubservercos.yuewen.com/BB22A3/29497588903344006/epubprivate/OEBPS/Images/5_02.jpg?sign=1739044673-szdWq6LLSZLww0ws6ph1eEXo00kY1I3X-0-858953d9b93cf90a14edf289b1331f1c)
图4-7 密度聚类的几个概念定义示意图
![](https://epubservercos.yuewen.com/BB22A3/29497588903344006/epubprivate/OEBPS/Images/6_01.jpg?sign=1739044673-7vnznAnkedKRFK2olNvdrsKZ4E4Z0frL-0-036e56d79e23811ed851d416f6163f12)
图7-5 卷积方式Padding
![](https://epubservercos.yuewen.com/BB22A3/29497588903344006/epubprivate/OEBPS/Images/6_02.jpg?sign=1739044673-kdVfJf6rdI3FADQw4VMhG9l8Rz0wKboR-0-854650d1798773ea1ca4857e1b410bd8)
图7-6 池化示意图
![](https://epubservercos.yuewen.com/BB22A3/29497588903344006/epubprivate/OEBPS/Images/6_03.jpg?sign=1739044673-WVaKIONmWByWaeIRz6Q4uB03PdOwJkqn-0-807465f3bbc36425cc92112e0089e2f0)
图8-18 StackGAN的基本结构
![](https://epubservercos.yuewen.com/BB22A3/29497588903344006/epubprivate/OEBPS/Images/7_01.jpg?sign=1739044673-gDHDoXbwrL8BzSEHVjkKHpFslBGUQa1Q-0-ae07b9c69a3c8a40cb338a663f49394c)
图9-5 长连边和短连边
![](https://epubservercos.yuewen.com/BB22A3/29497588903344006/epubprivate/OEBPS/Images/7_02.jpg?sign=1739044673-eQL36egfVgp2V2vNQucfDpbFy83TLDQi-0-3facd1ed2c5cbabd17fdcf199a84006a)
图9-6 社会联系的强度与用户联系长度的关联
![](https://epubservercos.yuewen.com/BB22A3/29497588903344006/epubprivate/OEBPS/Images/8_01.jpg?sign=1739044673-6raufywtGQG8j71LryPVHotAQmUdhq3l-0-ff60bfb33fbe7bbc878669ae2f1a2599)
图9-7 新加坡的Twitter网络
![](https://epubservercos.yuewen.com/BB22A3/29497588903344006/epubprivate/OEBPS/Images/8_02.jpg?sign=1739044673-uSBdBY56X3FbKstsU3gub6eR9shEZrSU-0-c9c8a11a1294281052c464b91f8af57f)
图9-8 不同用户联系长度的关系频率和关系强度随时间的动态变化
![](https://epubservercos.yuewen.com/BB22A3/29497588903344006/epubprivate/OEBPS/Images/9_01.jpg?sign=1739044673-UU23JYtftAfyPcwNEvDX56NjsQBlV4Iy-0-74247fc949e2ca6db2c9eb6efa7fdbbf)
图10-3 肥胖在网络中的传播情况
![](https://epubservercos.yuewen.com/BB22A3/29497588903344006/epubprivate/OEBPS/Images/9_02.jpg?sign=1739044673-hviX0fQJsKj25Czi730PNc55Co5aGAgf-0-adfeda460b798aae0eee4442f048c296)
图10-9 计算同质性网络和异质性网络的感知偏差
![](https://epubservercos.yuewen.com/BB22A3/29497588903344006/epubprivate/OEBPS/Images/10_01.jpg?sign=1739044673-4rpEriVLTZpUH10VPPOj2OcJwUmWwGYU-0-1899fa5916779096778efeb954b50d9e)
图11-17 收入变化与教育程度的关系
![](https://epubservercos.yuewen.com/BB22A3/29497588903344006/epubprivate/OEBPS/Images/10_02.jpg?sign=1739044673-2UA6rBJPYrlILrQVBDy4vHBh17FaVxBU-0-1f6b60a4923fc8ce3c81bab5ccb32fcd)
图11-18 不同教育程度的工资增长分布