degreeor

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)

包含很多知名算法实现，支持向量机，决策树，粗糙集，贝叶斯分类器等，适合学术研究，短评论意见挖掘，文本分类等。

说明：  python PCA算法原理推导，及源代码实现，并基于PCA算法实现图片压缩，附pdf文件说明(Python PCA algorithm principle derivation, and source code implementation, and based on PCA algorithm to achieve image compression, with PDF file description)

数据挖掘经典算法，频繁项集挖掘经典算法，FPGROWTH算法，源码中有详细说明

说明：  聚类评价指标的各种说明，非常详细，请仔细阅读。(Cluster evaluation indicators of various descriptions, very detailed.)

说明：  内附源数据、代码及word。代码包括：平稳性检验、协整检验、滞后阶数的确定、VAR 模型的拟合、脉冲响应分析、VAR 模型的预测(Stationarity test, co integration test, determination of lag order, VAR model fitting, impulse response analysis, VAR model prediction)

说明：  基于股票数据的神经网络，关于结算的预测，通过遗传算法加以改进(Based on the neural network of stock data, the prediction of settlement is improved by genetic algorithm)

频繁子图挖掘算法pafi1.0.1.zip,频繁子图挖掘算法采用c++实现，图数据挖掘方向的可以看一看。

粗糙集在进行属性约简时需要求其正域，此为求正域程序(Rough Set for Positive Domain)

该程序用于分类，用到的算法是Bagging and Knn 两种算法(This program is used for classification, the algorithm used is bagging and knn two algorithms)