TurbulentWindGenerator

说明：  一种无监督的聚类算法，基于密度聚类，名称为基于快速搜索与寻找密度峰值的聚类(Clustering by fast search and find of desity peaks)

说明：  分类器的性能比较与调优: 使用scikit-learn 包中的tree，贝叶斯，knn，对数据进行模型训练，尽量了解其原理及运用。 使用不同分析三种分类器在实验中的性能比较，分析它们的特点。 本实验采用的数据集为house与segment。(Performance comparison and optimization of classifiers: We use tree, Bayesian and KNN in scikit-learnpackage to train the data model and try to understand its principle and application. The performances of three classifiers are compared and their characteristics are analyzed. The data set used in this experiment is house and segment.)

通过Python对妹子图网站的图片集进行爬取(Crawling the collection of images on the sister map site via Python)

说明：  用于轴承大数据的故障诊断和数据挖掘，可将轴承的振动信息进行数组分析，获得预测模型，准确率较高(It can be used for fault diagnosis and data mining of bearing big data. It can analyze the vibration information of bearing by array and obtain the prediction model with high accuracy)

说明：  多种方法实现分位数回归,有完整原理解释，直接可用。(Multiple methods for quantile regression)

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))

用于信号特征提取，提取信号的小波包能量谱(Extracting the wavelet packet energy spectrum of the signal)

常用数值算法源码，包括二分法、复化辛卜生公式、改进欧拉法、高斯-赛德尔迭代法、拉格郎日插值多项式、列主元高斯消去法、龙贝格算法、龙格-库塔算法、幂法、牛顿迭代法、牛顿值多项式、四阶阿当姆斯预测-校正公式、雅可比迭代法、自适应梯形公式（变步长）、最小二乘法 个人由于需要编写，完全可用(Common numerical algorithm source code, including dichotomy, complex Simpson formula, improved Euler method, Gauss-Seidel iteration method, Lagrange interpolation polynomial, column principal element Gauss elimination method, Runberg algorithm, Runge-Kutta algorithm, power method, Newton iteration method, Newton value polynomial, fourth-order Adams prediction-correction formula, Jacobi iteration method, adaptive ladder formula (variable) Step Length and Least Square Method Individuals are fully available because they need to write)

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)

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