propospuionsview

可以用黄金分割和斐波那契算法实现优化,只要改变相应的参数就可以用了(You can use the golden section and the Fibonacci algorithm to optimize, just change the corresponding parameters.)

说明：  r语言中关联规则代码实现 运用arulesViz包和arules包中的apriori函数(Code Implementation of Association Rule)

CHKS光滑孪生支持向量机程序, 采用CHKS光滑函数逼近无约束孪生支持向量机的不可微部分，得到一类光滑的孪生支持向量机。(CHKS smooth twin support vector machine program)

说明：  EMD经验模态分解算法程序，适合非线性，非平稳时间序列的处理(EMD empirical mode decomposition algorithm program)

三次样条插值的C语言算法,但是总是数据溢出()

说明：  用matlab 实现了kmeans算法还附有评价指标计算(Matlab to achieve kmeans algorithm also attached to the evaluation index calculation)

说明：  从数据库获取车辆在一段时间内的所有行驶记录的相关数据，确定所需数据为GPS经纬度坐标和驾驶时长等，QB模型采用MDF的思想,其基本思想为:通过平均直接翻转距离函数定义两条轨迹之间的距离，两条轨迹需要具有相同的经纬度点数，具有相同点数的轨迹最大的优点是对轨迹距离成对计算，且相同轨迹之间具有更高的分辨率，对于轨迹聚类的结果有一定的优化。(Retrieved from the database cars all over a period of time, record the related data, determine the required data for the GPS latitude and longitude coordinates, and the driving time, QB model by adopting the idea of MDF, its basic idea is: flip directly by the average distance function definition of the distance between two trajectories, two tracks will have the same latitude and longitude points, and has the biggest advantages of the same points of trajectory track distance calculation in pairs, and has higher resolution, between the same trajectory for trajectory clustering results have certain optimization.)

说明：  实现了无监督AP聚类 其优势在于不用知道聚类个数(The advantage of unsupervised AP clustering is that the number of clusters is not known)

说明：  本书精心策划了三个虚拟项目，将数据科学家必需的专业技能融合其中，教会读者如何将数据存储到计算机内存中，如何在必要的时候转换内存中的数据值，如何用R编写自己的程序并将其用于数据分析和模拟运行。读者将跟随世界一流的RStudio培训师掌握宝贵的编程技能，并借助这些技能成为优秀的数据科学家。(Introduction to R Language)

机器学习与R语言（machine_learning）源代码下载，内含R语言实现机器学习算法和应用案例(Machine learning and R language (machine_learning) source code download, containing R language to implement machine learning algorithms and application cases)