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pdf_calculation
- 计算各种随机分布的密度函数，并可以根据给定的概率计算分位点-the calculation of the density of random distribution function, and can be according to the probability of sub-sites
OnlineSVR-CPP-Code
- 支持向量机在线学习训练算法C++源码，可以用来做数据分类、模式识别、回归估计、概率密度函数估计等方面。-Support vector machine online learning training algorithm C++ source code, can be used for data classification, pattern recognition, regression estimation, probability density function estimation an
Gaussian
- 首先产生均匀分布，然后通过变换产生高斯分布的随机数，并画出概率密度函数的直方图-Uniform distribution generated first, and then converting a Gaussian distribution random number, and a histogram of the probability density function draw
kde
- 核概率密度估计算法，对于以往的有优化，可以得到概率密度及分布函数。-Nuclear probability density estimation algorithm optimized for the past there, you can get the probability density and distribution functions.
pdf_tail1
- SAR图像强度概率密度函数与理论最佳拟合的比较-Comparison between the SAR image intensity probability density function and the theory of the best fitting...
kde
- 给定样本点，采用高斯核密度估计，求出概率密度分布函数。(It is good to use this method to evaluate pdf)