搜索资源列表
GMM
- 程序展示了使用EM algorithm来训练GMM(Gaussian Mixture Model)来进行binary classification。-Program demonstrates the use of EM algorithm to train the GMM (Gaussian Mixture Model) for binary classification.
EM_Algorithm
- 混合高斯背景建模的EM估计算法，是一篇英文资料，希望对大家有帮助。-EM estimation algorithm for Gaussian mixture background modeling, is an English data, we want to help.
12
- EM 混合高斯分布的相关程序，主要以三个为例-EM mixed Gaussian distribution
EM_GM
- EM algorithm for k multidimensional Gaussian mixture estimation
EM11
- EM算法用于混合高斯模型的估计。算法结构清晰，有详细的中文说明。条理清晰。保证能够运行出来。-EM algorithm is used to estimate the Gaussian mixture model. Clear algorithm structure, a detailed descr iption of the Chinese. Guaranteed to run out.
Clustering_Toolbox
- Robert Gordon University的一个研究人员写的k-means聚类算法工具箱，内容完整可运行。-Includes k-means, hierarchical (single-, complete- and mean-linkage), EM for Gaussian Mixture Models, fuzzy c-means, and a demo.
GMM_EM
- 高斯混合模型EM算法,通过EM算法来进行高斯混合模型的参数估计-Gaussian mixture model EM algorithm parameters by EM algorithm to estimate the Gaussian mixture model
EM_GM
- EM algorithm for k multidimensional Gaussian mixture estimation
EM_GM
- EM algorithm for Gaussian mixture (EM_GM) learning is well known
GM_EM
- 经典的em算法即期望最大化算法，可用于高斯混合GMM模型和聚类算法，-Classic em algorithm that expectation maximization algorithm can be used for Gaussian mixture models and GMM clustering algorithm,
CHW3
- Expectation Maximization (EM) Algorithm for Gaussian Mixture Model
EM_GMM
- 基于EM算法实现的高斯混合模型数据分类，可以很优秀的对各种数据进行聚类分析，R语言实现-EM algorithm based on Gaussian mixture model data classification, can be very good for a variety of data clustering analysis, R language
emgm
- matlab code for EM algorithm for Gaussian mixture model
mixGaussEm
- matlab m文件 EM算法混合高斯模型-matlab m file EM algorithm Gaussian mixture model
Hidden-Markov-modelling
- Hidden Markov modelling of contourlet transforms for art authentication Bayesian robust hidden Markov model Hidden Markov Models for Molecular Motors When wavelet meet HMM Hidden Markov Tree model of Contourlet Transform EM for HMM Multivar
fit_mix_gauss
- 对参数使用最大期望算法进行拟合成混合型高斯分布。-fit parameters for a mixed-gaussian distribution using EM algorithm
EMAlgorithm
- 运用EM算法生成任意条件下的二维高斯分布-Using the EM algorithm to generate a two-dimensional Gaussian distribution in any condition
GMMPEM
- 代码给出了高斯分布下的EM算法的设计与实现-Code gives the design and implementation of a Gaussian distribution under the EM algorithm
EM_suanfa
- 基于EM算法的混合高斯分布参数估计方法，包括权值、均值和标准差-Mixed Gaussian distribution parameter estimation method based on the EM algorithm, weights, including the mean and standard deviation
EmGMM
- 高斯混合模型的最大期望迭代求解算法,可用于图像区域灰度分布估计-Expectation maximazation(EM) for Gaussian mixture model(GMM)