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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=1739290401-Yyk3I5bCnujXa7sVUIv0Mr3maisXVGHs-0-a4223e41a3828cd3cf3ce624d0793ce7)
图2-3 聚类示意图
![](https://epubservercos.yuewen.com/BB22A3/29497588903344006/epubprivate/OEBPS/Images/4_01.jpg?sign=1739290401-Sp8KEyOHCBQsZT3etOzaF7Pq2ZV7Lymu-0-f41d6d1488bd34378a219e25c16a3aa6)
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=1739290401-XZiaxPGw44PMN9JFdPDmuK1gJJj8F67P-0-c5d20f1de058f2dcb6a0c6d054ecfde1)
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=1739290401-GQTOkLCIbIifU1YSuzNJCSjRCW2cvBAL-0-c543906136314b6d1ef919cd53193f46)
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=1739290401-7BCyqSiy3vph0VGnAT0d50Uh2v36xK3Q-0-1dea7194f5fdf31ec65dbbac6e00d06b)
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=1739290401-A3tbMHX6E34GOOxuzvCuR4KXX9CgNfyG-0-a808363c0d028088a8b01726125eee98)
图7-5 卷积方式Padding
![](https://epubservercos.yuewen.com/BB22A3/29497588903344006/epubprivate/OEBPS/Images/6_02.jpg?sign=1739290401-jmyXCtQ5nhUCa0LRQtfVDkWxSau4z3eW-0-ffd5ab16445efca777c920778577f051)
图7-6 池化示意图
![](https://epubservercos.yuewen.com/BB22A3/29497588903344006/epubprivate/OEBPS/Images/6_03.jpg?sign=1739290401-g9nFBZMHndtvcCL9dkRzSRu3h5JeW8Ak-0-565e09a14ddc0565d088008c381eae2e)
图8-18 StackGAN的基本结构
![](https://epubservercos.yuewen.com/BB22A3/29497588903344006/epubprivate/OEBPS/Images/7_01.jpg?sign=1739290401-BY1XD1Y9d3c72PbeKEyJDVguXYJuC9sp-0-7c4638410be440d5b7bb2468f04b6bf0)
图9-5 长连边和短连边
![](https://epubservercos.yuewen.com/BB22A3/29497588903344006/epubprivate/OEBPS/Images/7_02.jpg?sign=1739290401-ZCdO2kqNUePLLgmq66zCbmLN8cqUOlYX-0-66b817bda5d37121e3e4c5100f0d0f6b)
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=1739290401-rvLQkBM7g3p6iNM3e7LbcStvpO9CoRE7-0-d431d82e2bbf48d4e5ab3b5590a0348f)
图9-7 新加坡的Twitter网络
![](https://epubservercos.yuewen.com/BB22A3/29497588903344006/epubprivate/OEBPS/Images/8_02.jpg?sign=1739290401-zpWAogw2DrOc2Q2EpscP9chJ60zcZ3uY-0-e3577445f43586e96d491fcd24c75e84)
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=1739290401-359PnijF9OLpLFUpexIlrpHllpW8VKnV-0-9e929ad44abc5cd2ff61e488ddd9f688)
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=1739290401-VBp2fvs2RxYPVo3ykbIEdjQppUYXZuim-0-eedbaf6506c5aa78b049b129e3acaefe)
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=1739290401-lp7dFXoDfrKfpypTofbBypEq3X0751qk-0-d6526890c1dabbe5347162877ff8764a)
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=1739290401-yzfct1eAeMnO57RNDxjHISoeHYot12bM-0-d3f9c4d41967ec590eb65a4b96258d4b)
图11-18 不同教育程度的工资增长分布