clegnup-cyclic-prefix

PCA 数据降维 PTYTHON 数据分析/挖掘(PCA dimensionality reduction data mining/analysis)

Clustering the data with Density-Based Scan Algorithm with Noise (DBSCAN)

深度学习框架Keras入门资料，里面的代码包括课件和DEMO有利于新书入门学习，简单易懂(Keras Introductory Information of Deep Learning Framework, which includes courseware and DEMO, is helpful for introductory learning of new books. It is easy to understand.)

说明：  《从零开始学爬虫》的配套资料（PPT和源码）("Learning Reptiles from Zero" (PPT and Source))

说明：  用来作分类识别的KNN算法,非常好用非常好用(A very useful nearest neighbor algorithm)

扩展卡尔曼滤波与无迹卡尔曼滤波的跟踪滤波性能的比较()

这是一本经典数值算法书,包含多种算法的理论,为编程者具有一定参考意义()

这是C语言中的难点的一些算法,其中包括用C实现的班级成绩管理,用C实现的排序算法等()

将数据集转换为拉普拉斯矩阵，然后利用基于图论的谱聚类进行聚类。拉普拉斯矩阵采用高斯核函数，全连接方法计算。谱聚类擅长处理高维数据或非凸数据集。(The data set is transformed into Laplacian matrix, and then clustered by spectral clustering based on graph theory. The Laplacian matrix is calculated by using the Gauss kernel function and the full connection method. Spectral clustering is good at dealing with high-dimensional or non-convex data sets.)

利用一维卷积神经网络将叶子进行分类，里面包含的有数据(Classification of leaves using one dimensional convolution neural network)