资源列表
Time_Series_Analysis
- ARIMA算法的Python实现，预测时间序列数据。 附两个数据： AirPassengers UK Traffic flow(The Python implementation of the ARIMA algorithm predicts the time series data. Two data are attached. AirPassengers UK Traffic flow)
多项式最小二乘拟合与龙贝格积分法
- 通过最小二乘法拟合曲线，并使用龙贝格公式计算积分(By the method of least squares fitting curve, and use the formula to calculate the Romberg integral)
厄尔米特插值与高斯消去解法
- 用厄尔米特插值法拟合曲线，用高斯消去法解线性方程。(The Earl milt interpolation method is used to fit the curve, and the Gauss elimination method is used to solve the linear equation.)
数值分析
- 用拉格朗日插值法拟合曲线，用牛顿插值法拟合曲线，用厄尔米特插值拟合曲线。(The curve is fitted by Lagrange interpolation, and the curve is fitted by Newton interpolation, and Earl milt interpolation is used to fit the curve.)
08716868
- K-Means是聚类分析中重要的一种方法,此源码是K-Means聚类分析的C语言实现,()
CSO
- 模仿鸡群的一种智能算法MATLAB代码，用于求解全局最优值和最优解！！(An intelligent algorithm MATLAB code that imitates a chicken group for solving global optimal values and optimal solutions!)
vbbzsb
- k-means实现 用于数据挖掘的著名的算法 非常使用()
xarentheses
- kmeans算法实现 a simple k-means clustering routine returns the clus()
jiefangcheng
- 该函数可以解带有六个未知数的方程，简单易用(This function can solve equations with six unknowns, easy to use)
nuou
- kriging 插值算法C程序, written by Chao-yi Lang()
weflection
- LCS,即最常公共子序列的的C语言解法,prepare_for_backdate(char,char,int,int)函数()
xohtqfd
- K均值算法： 给定类的个数K,将N个对象分到K个类中去, 使得类内对象之间的相似性最大,而类之间的相似性最小()