数据之美 一本书学会可视化设计英文版

将3D指向2D 将3D点投影到2D平面上 用法 var points3dto2d = require ( "points-3d-to-2d" ) ; var points3d = [ ] ; // [[x,y,z], [...]] var points2d = points3dto2d ( points3d , false ) ; // [[x,y], [...]]

MartinHub的学习笔记 关于我 MartinHub :smiling_face_with_sunglasses: ，，热爱生活！热爱技术！ 微信公众号【MartinHub】 个人微信号【MartinHub】 项目介绍 大数据 Java 数据库 Linux 杂记 :bullseye: :hot_beverage: :floppy_disk: :cloud: :memo: :black_nib:本仓库有来源自己总结，网上收集，视频笔记，如果有区别之处，可以联系我进行删除。 :scroll:笔记仓库： GitHub上： Gitee： :scroll:笔记地址： GitHub上： Gitee： 因个人能力有限，笔记中可能还有很多错误的地方，还请大家能够多多指出交流，也欢迎各位小伙伴能够提交拉请求请求进行完善。 注意：因为构建页面的框架缓存，访问笔记地址时，为防止最新更新的笔记看不到，请浏览器打开网址后，先清除页面缓存。

pc客户端软件，支持在线操作机器人。

On the Legendre-Gauss-Lobatto Points and Weights 确定Legendre-Gauss-Lobatto点的方法

Magento1社区版，1.9可用，官网售价299刀 前台演示地址：http://points.demo.aheadworks.com/index.php/points/reward/ 后台演示地址：http://points.demo.aheadworks.com/index.php/admin/system_config/index/key/06fb2758367a130ae08369d5924a534d/

FinFET制造技术详解，FinFET制造技术详解，半导体制造技术

AP算法提出原文。Clustering data by identifying a subset of representative examples is important for processing sensory signals and detecting patterns in data. Such “exemplars” can be found by randomly choosing an initial subset of data points and then iteratively refining it, but this works well only if that initial choice is close to a good solution. We devised a method called “affinity propagation,” which takes as input measures of similarity between pairs of data points. Real-valued messages are exchanged between data points until a high-quality set of exemplars and corresponding clusters gradually emerges. We used affinity propagation to cluster images of faces, detect genes in microarray data, identify representative sentences in this manuscript, and identify cities that are efficiently accessed by airline travel. Affinity propagation found clusters with much lower error than other methods, and it did so in less than one-hundredth the amount of time.

《C和指针》(points on c) 课后参考答案

这是博客中用到的练习数据。。