搜索资源列表
EM_GM
- EM算法和高斯模型的，用Matlab编程工具编写，实现功能快速-EM algorithm and the Gaussian model, using Matlab programming tools to write, to achieve rapid function
mixture-Gauss-model-EM-matlab
- EM算法计算混合高斯模型，可以计算三个参数。-Gaussian mixture model EM algorithm, three parameters can be calculated.
EM
- 利用Matlab编程验证用EM算法估计的高斯混合模型的相关参数的性能。-Validate the use of Matlab programming estimated using EM algorithm for Gaussian mixture model parameters related to the performance.
em-algorithm-for-gmm
- 基于高斯混合模型(GMM)的em算法，给出了其matlab实现-em algorithm for GMM
EM算法
- 在统计计算中，最大期望（EM）算法是在概率（probabilistic）模型中寻找参数最大似然估计或者最大后验估计的算法，其中概率模型依赖于无法观测的隐藏变量（Latent Variable）。最大期望经常用在机器学习和计算机视觉的数据聚类（Data Clustering）领域。(In statistical calculation, the expectation maximization (EM) algorithm in probability (probabilistic) maximu
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))
EMSegementation
- em算法,经典的matlab程序，可以直接运行，很好的一个程序。谢谢(Em algorithm, the classical matlab program, can run directly, very good program. thank you)
GMM_EM
- GMM算法是混合高斯模型，其求解过程需要不断迭代，本程序利用EM算法进行了仿真实现，可以加深对GMM的理解。(GMM algorithm is a hybrid Gauss model, and its solution process needs iteration. This program uses EM algorithm for simulation, which can deepen the understanding of GMM.)
FisherEM - 副本
- 高斯混合模型，将Fisher和EM算法结合的一种算法(Gauss mixture model, an algorithm combining Fisher and EM algorithm)
em聚类
- em算法指的是最大期望算法（Expectation Maximization Algorithm，又译期望最大化算法），是一种迭代算法，用于含有隐变量（latent variable）的概率参数模型的最大似然估计或极大后验概率估计。(Expectation Maximization Algorithm use for clustering)
EM算法的原码
- em算法matalab代码仅供参考 谢谢 ，，，，，，，(EM algorithm MATALAB code for reference only, thank you,,,,,,,)
EM_GM_fast
- 高斯混合模型中的EM算法（就不完整数据的极大似然估计）应用(EM algorithm in Gauss mixture model)
em
- 机械学习算法，用于求解OFDM系统中基于循环前缀的定时同步的迭代方法(Mechanical learning algorithm for solving the iterative method of timing synchronization based on cyclic prefix in OFDM system)
em(1)
- 机械学习算法，用于求解OFDM系统中基于循环前缀的定时同步的迭代求解方法(Mechanical learning algorithm for solving the iterative method of timing synchronization based on cyclic prefix in OFDM system)
18.1.EM
- EM算法代码实践，使用python实现。(EM algorithm code practice, based on Python implementation)
EM Algorithm
- 通过使用EM算法来实现混合高斯的分类,有比较好的效果，很直观的可以展示，对于初学者很有帮助(Through the use of EM algorithm to achieve the classification of mixed Gaussian, have better results, very intuitive to display, helpful for beginners)
coin
- 使用python语言，加以清楚注释，借用经典的三硬币模型实现了EM算法的简单应用，并附生成数据的简单代码(The python language is used to make clear annotations and to use the classic three coin model to implement the simple application of the EM algorithm and to attach the simple code to generate the d
GMM_EM
- GMM模型下的EM算法，一个实用的matlab仿真代码(EM algorithm under GMM model)
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)
EM
- EM 算法的MATLAB编程，以一个示例说明EM编程过程(MATLAB programming of EM algorithm)