搜索资源列表
EM-matlab.rar
- 用matlab实现EM算法，进行聚类分析。,EM algorithm using matlab to achieve, for Cluster Analysis.
EmEstimate
- 给定独立同分布样本集，用matlab编程实现EM算法进行参数估计-Given the independent and identically distributed sample set, using matlab programming EM algorithm to estimate parameters
EM
- 提供迭代算法的matlab实现以及c的实现-iteration
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
GMM-GMR-v1.2
- 这是一款用matlab编写的GMM算法，有样例，实现用EM算法寻找GMM参数-This is a matlab prepared using GMM algorithm, there is a sample, look for implementation using EM algorithm for GMM parameter
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
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_1D
- 一维EM算法MATLAB实现，两分支高斯混合模型，均值和方差都不相同。-one dimensino EM algorithm implemented by MATLAB. Estimate the mean and variance of Gaussian Mixture Model with two branches.
GMM-GMR-v2.0
- 基于泛化自回归的源模型，以及在这个模型基础上的EM算法实现-Generalization based on the source from the regression model, as well as in the model based on EM algorithm
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
- 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
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
- GMM的优化，用EM算法实现高斯混合模型-GMM optimization algorithm EM
EM-GMM
- 利用EM算法实现高斯混合模型的优化，完成特征建模-Use of EM Algorithm to to achieve the the the optimization of of the Gaussian mixture model, to complete the Feature Modeling
EM
- 本程序一维数据的EM算法实现，稍作修改就可以成为多维数据的EM算法实现。-EM algorithm for one-dimensional data of the program implementation, minor modifications can become the cube of the EM algorithm.
EM
- EM算法的简单实现，EM算法是机器学习中的一个重要的基础算法(Simple implementation of EM algorithm, EM is an important basic algorithm in machine learning)
EM算法之三硬币模型：matlab编程实现
- EM算法是人工智能十大算法之一。三硬币模型算例出自李航的《统计学习方法》，书中给出了计算结果和简单解说，对于不是学数学的看这种复杂的公式看不懂，我也看了很久才看懂。我用matlab编写的代码，并作了详细的注释。(EM algorithm is one of the ten major algorithms of artificial intelligence. The three coin model is derived from Li Hang's statistical learning
GMM
- 实现了EM算法对高斯混合模型进行聚类，并将聚类结果用图像展示出来，希望对混合模型的朋友有用。(The EM algorithm is implemented to cluster the Gauss mixture model, and the clustering results are displayed with images, hoping to be useful to friends of the mixed models.)