搜索资源列表
ppkd
- 基于有限高斯混合模型的EM算法的源程序代码，里面有实验报告和运行结果。 -based on finite Gaussian mixture model of the EM algorithm source code, which has run reports and experimental results.
fc5j_EM_matlab
- EM 算法处理高斯混和模型-EM algorithm processing Gaussian mixture model
EM_GM
- 混合高斯分布EM算法，可以算混合高斯分布的三个参数。混合高斯分布更接近系数分布。-mixed Gaussian distribution EM algorithm can calculate mixed Gaussian distribution of the three parameters. Mixed closer to the Gaussian distribution coefficient.
fc5j_EM_matlab
- em算法求解混合高斯模型，适合图像处理中，对象分割-em algorithm Gaussian mixture model suitable for image processing, object segmentation
GMM_EM
- 高斯混合模型的EM搭建过程以及详细说明，利于初学者的学习！-EM Gaussian mixture model building process as well as detailed instructions, which will help beginners to learn!
em
- 实现利用高斯分布聚类，即完成em算法，直接在matlab上运行，可以作图直观显示（二维数据）-Achieve Gaussian distribution clustering, complete em algorithm, running directly on matlab, you can visualize mapping (two-dimensional data)
EM
- EM 分类 多元高斯分布的一段程序 分类效果比较不错 -A program classification results EM classification multivariate Gaussian distribution is quite good
EM
- 这个一个关于高斯混合分布的matlab程序，写的比较死，仅供参考-The one on the Gaussian mixture distribution matlab program, write more death, for reference
em
- em - EM algorithm for adaptive multivariate Gaussian mixtures
Gaussian-mixture-model
- 混合高斯模型GMM EM算法，建模效果好，可以用于行为识别-Gaussian mixture model GMM EM algorithm, modeling effect, can be used for behavior recognition
gaussian-mixture-model
- 高丝混合模型，内涵matlab程序，用EM算法-Kose hybrid model, the connotation matlab program, using the EM algorithm
EM-Algorithm-for-GMM
- Expectation Maximization algorithm for Gaussian Mixture Model Training
EM-Probability
- 多维的概率估算,用EM算法,可直接使用.-EM algorithm for k multidimensional Gaussian mixture estimation
EM
- 对于混合高斯分布的情况，使用最大期望算法，通过不断计算每个样本的均值与方差，使得似然函数达到最大值。可以很好地处理满足一定概率分布的数据。 代码中通过mvnrnd()函数，设定其中的参数，产生符合混合高斯分布的一组数据集。-For the case of a mixed Gaussian distribution, using expectation-maximization algorithm, through continuous calculation of the mean and
EM
- 实验报告，实现：对于混合高斯分布的情况，使用最大期望算法，通过不断计算每个样本的均值与方差，使得似然函数达到最大值。可以很好地处理满足一定概率分布的数据。 代码中通过mvnrnd()函数，设定其中的参数，产生符合混合高斯分布的一组数据集。-Lab reports, to achieve: the case of the mixed Gaussian distribution, using expectation-maximization algorithm, through continuo
EM
- 求高斯过程的参数-Arguments seeking Gaussian Process
EM
- Expection Maximize（EM）算法在Gaussian Mixture高斯混合模型上的应用-EM algorithm for Gaussian Mixture Distribution
EM_GMM
- 用EM算法对混合高斯模型中的参数进行估计 一种改进的EM算法即Monte Carlo EM算法（MCEM）的一个简单例子(The parameters in the mixed Gaussian model are estimated by EM algorithm An improved EM algorithm is a simple example of the Monte Carlo EM algorithm (MCEM))
EMfc
- 一个EM算法 这是通过高斯混合模型进行聚类的EM算法的实现，使用图形在线表示。(EM algorithm This is an implementation of the EM algorithm for Clustering via Gaussian mixture models, using graphical on-line representation.)
EMfunction
- 混合高斯分布的em算法，e步和m步，输出各参数值(mixture of gaussian,em)