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聚类算法之高斯混合模型，GMM 和 k-means 很像，不过 GMM 是学习出一些概率密度函数来（所以 GMM 除了用在 clustering 上之外，还经常被用于 density estimation ）。-Gaussian mixture model of clustering algorithm, GMM and k-means like, but GMM is learning some probability density function (so GMM except on cl
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copula工具库,包括各种copula函数，及联合分布函数的概率密度函数、分布函数和随机数的生成-copula tool library, including a variety of copula function, and joint distribution function of the probability density function, distribution function and a random number generator
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The function fits Guassian probability density function into a set of points. Standard deviation and mean are returned.
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以最小二乘法进行曲线拟合 得到概率密度函数的参数-With the least squares curve fitting to get the parameters of the probability density function
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alpha分布的概率密度函数，可加以利用产生alpha噪声（有尖峰，拖尾严重）-alpha distribution probability density function can be used to produce alpha-noise (with spikes, trailing serious)
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本文提出了一种新的自动换合成孔径雷达（SAR）时间序列检测技术，即广义有序序列分析方法。-This paper presents a new automatic change de-
tection technique for synthetic aperture radar (SAR) time se-
ries, i.e., Method for generalIzed Means Ordered Series Analysis
(MIMOSA). The method comp
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高斯混合模型算法实现c++，高斯混合模型就是用高斯概率密度函数（正态分布曲线）精确地量化事物，它是一个将事物分解为若干的基于高斯概率密度函数（正态分布曲线）形成的模型-Gaussian mixture model algorithm c++, Gaussian mixture model is a Gaussian probability density function (normal distribution curve) to accurately quantify things, it
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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...
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高斯混合模型就是用高斯概率密度函数（正态分布曲线）精确地量化事物，它是一个将事物分解为若干的基于高斯概率密度函数（正态分布曲线）形成的模型。-Gaussian mixture model is to use the gaussian probability density function (gaussian distribution curve) accurately quantify things, it is a to break things down for several based
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MATLAB编程对一组数据进行归一化处理后统计它的概率密度函数后画图-MATLAB programming on a set of data normalization processing after statistics of its probability density function
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α稳定分布的几个函数，包括样本的生成，概率密度函数，累积分布函数等-Several functions α stable distribution, including sample generation, probability density function, cumulative distribution function, etc.
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核函数估计(一元，高斯核函数)，包括带宽优化-kernel density estimation (KDE) is a non-parametric way to estimate the probability density function of a random variable.
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偏t分布的概率密度函数(pdf)、累积分布函数(CDF)、分位数(quantiles)计算以及生成随机数的matlab代码。-Matlab code for calculating probability density function, cumulative distribution function, quantiles of the skewed-t distribution and generating the random samples
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基于两参数威布尔分布理论进行机车车轮轮芯失效个数的威布尔概率密度函数和威布尔分布函数拟合，包括南昌，上海，兰州，乌鲁木齐和总体轮芯失效统计-Weibull probability density function of the Weibull distribution function and locomotive wheel core based on the theory of two-parameter Weibull distribution fitting failure number
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函数用于显示不同噪声的概率密度，含有高斯噪声，椒盐噪声，指数噪声等噪声。-The probability density function for displaying different noise containing Gaussian noise, salt and pepper noise, noise, noise index.
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This function computes the probability density function for the
correlation coefficient of a bivariate random variable.
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MeanShift算法是一种无参概率密度估计法，算法利用像素特征点概率密度函数的梯度推导而得， MeanShift算法通过迭代运算收敛于概率密度函数的局部最大值，实现目标定位和跟踪，也能对可变形状目标实时跟踪，对目标的变形，旋转等运动也有较强的鲁棒性。MeanShift算法是一种自动迭代跟踪算法，由 MeanShift补偿向量不断沿着密度函数的梯度方向移动。在一定条件下，MeanShift算法能收敛到局部最优点，从而实现对运动体准确地定位。-MeanShift algorithm is a no
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统计直方图 matlab 概率密度函数和统计直方图的拟合-Histogram matlab probability density function and a histogram fitting
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无迹Kalman滤波利用无迹变换在估计点附近确定采样，用这些样本点表示的高斯密度近似状态的概率密度函数。-Unscented Kalman filtering uses the unscented transform to determine the probability density function of the Gaussian density approximation state, which is represented by these sample points.
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Matlab examples used for hypergeometric probability density function.
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