搜索资源列表
GMM
- 混合高斯模型的C++程序，封装成为C++的类，直接调用即可。-gaussian mixture model train code
GMM
- 混合高斯em算法matlab源码可算三个参数-Em algorithm for Gaussian mixture can be considered three parameters matlab source
GMM
- em算法，简单实用，非常好，包括原始文档内容-em algorithm is simple and practical, very good, including the content of the original document, etc.
EM-Algorithm-for-GMM
- Expectation Maximization algorithm for Gaussian Mixture Model Training
GMM-latentSpace-v2.0
- GMM算法，利用EM算法求解混合模型中每个模型的参数-Gaussian Mixture Model,GMMalgorith,Use EM algorith
ghsc267762131214061
- gaussian-mixture-models: This tool clusters the input image into n number of colored sections by synthesizing a Gaussian Mixture Model (GMM) using Expectation Maximization (EM).
emgmm
- em algorithm for g-em algorithm for gmm
ML
- GMM高斯混合模型EM算法聚类，PCA主成分分析，以及从人脸图像中提取主成分(GMM Gauss hybrid model EM algorithm clustering, PCA principal component analysis, and extraction of principal components from face images)
GMM
- 此算法实现高斯混合，可以对初始聚类算法选择c均值和EM，可以实现密度估计和分类。(This GMM algorithm can estimate the density and class, the initial steps can select the C-mean and EM.)
EMM_Python2
- GMM算法说明 包括 EM、GMM、GMM参数设置、GMM机器学习(GMM code including EM,GMM. GMM_Parameter)