搜索资源列表
EM
- EM算法Matlab实现。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）-EM algorithm by Matlab. Maximum expected (EM) algorithm is probabilistic (probabilistic) model to find maximum likelihood parameter estimation or m
EM-algorithm
- EM算法，是一种无监督的聚类算法，可以实现对数据的处理，对不同数据进行聚类，生成类内相似度最大-EM algorithm is an unsupervised clustering algorithm, the data processing can be achieved on different data clustering, to generate the maximum within-class similarity
em_ghmm
- EM算法的MATLAB实现,EM算法是HMM中用于随机过程模型参数训练的经典算法-the inplement of algorithm EM with MATLAB，the algorithm is a claasical mathod which is used to train the patameter of the HHM model.
EM_GM_fast
- EM算法的高斯分布的MATLAB程序源码实现-EM Algorithm for Gaussian distribution of the MATLAB program source code to achieve
EM
- 这次上传的程序源码是关于EM算法的编程实例。-The upload process is on the EM algorithm source code programming examples.
EMAlgorithm
- EM算法的详细介绍（含PDF文件）及其matlab实现-EM algorithm is a detailed descr iption (including PDF files) and its implementation matlab
EM
- 这是用matlab实现em算法的程序，简单，易懂，共同学习噢。-EM
em
- MATLAB实现的EM算法，用于高斯混合模型的均值、方差、权重估计-EM algorithm based on MATLAB
EM
- em算法的学习资料，各种格式，包含c和matlab源代码，希望有所帮助-em algorithm learning materials, a variety of formats, including c and matlab source code, hope that helps
Antenna-and-EM-5
- 天线与EM算法，个人认为比较好的资料，欢迎大家下载-Antenna and EM algorithm, individuals that good information, are welcome to download
em-three-preference
- 基于EM算法，可以估计在混合高斯分布下的三个参数-EM expection
em
- 该代码实现了著名的EM算法，清晰地演绎了E与M步的实现过程，相信对初学者非常有益。-The function of this code is to implement the famous EM algorithm.The E and M proceduce has been implemented indepently and clearly. It is very useful for beginners.
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))
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)