Location:
Search - EM Clustering
Search list
Description: EM高斯混合多变量模型聚类算法，直接可以运行-EM Gaussian mixture model clustering algorithm, and can be run directly
Platform: |
Size: 1024 |
Author: hqh |
Hits:
Description: 一种EM算法实例，用于混合高斯分布聚类处理数据-One kind of example of the EM algorithm for clustering mixed Gaussian process data
Platform: |
Size: 3072 |
Author: 郭书恒 |
Hits:
Description: 大多数经典聚类分析算法的matlab实现，包括K均值、模糊聚类（FCM）、SOM、Kohonen、EM、DBSCAN、等！-ON划词翻译ON实时翻译
Most of the classical clustering algorithm matlab implementation, including K means, fuzzy clustering (FCM), SOM, Kohonen, EM, DBSCAN, etc.!
Platform: |
Size: 40960 |
Author: 扛 |
Hits:
Description: 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,
Platform: |
Size: 3072 |
Author: 张磊 |
Hits:
Description: 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
Platform: |
Size: 1024 |
Author: 李亮民 |
Hits:
Description: Max Welling s Notes 原网页是PS格式的，我都转成了pdf格式方便阅读，机器学习算法相关，都是一些相对基础的算法，这个笔记把很多算法的精髓都整理的很清楚，适合初学者入门看，以及一些新的算法里面可能没有涉及，在英文描述中我把里面涉及的算法列了一下，按需求下载吧。-Max Welling s Notes。Statistical Estimation [ps]
- bayesian estimation
- maximum a posteriori (MAP) estimation
- maximum likelihood (ML) estimation
- Bias/Variance tradeoff & minimum description length (MDL)
Expectation Maximization (EM) Algorithm [ps]
- detailed derivation plus some examples
Supervised Learning (Function Approximation) [ps]
- mixture of experts (MoE)
- cluster weighted modeling (CWM)
Clustering [ps]
- mixture of gaussians (MoG)
- vector quantization (VQ) with k-means.
Linear Models [ps]
- factor analysis (FA)
- probabilistic principal component analysis (PPCA)
- principal component analysis (PCA)
Independent Component Analysis (ICA) [ps]
- noiseless ICA
- noisy ICA
- variational ICA
Mixture of Factor Analysers (MoFA) [ps]
- derivation of learning algorithm
Hidden Markov Models (HMM) [ps]
- viterbi decoding algorithm
- Baum-Welch learning algorithm
Kalman Filters (KF) [ps]
- kalman filter algorithm (very detailed derivation)
-
Platform: |
Size: 1211392 |
Author: 陈希 |
Hits:
Description: Just like EM of Gaussian Mixture Model, this is the EM algorithm for fitting Bernoulli Mixture Model.
GMM is useful for clustering real value data. However, for binary data (such as bag of word feature) Bernoulli Mixture is more suitable.
Platform: |
Size: 3072 |
Author: lin |
Hits:
Description: Clustering of data points using Gaussian Mixture Model and EM Algorithm
Platform: |
Size: 1024 |
Author: neelesh314 |
Hits:
Description: 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。
Platform: |
Size: 2048 |
Author: 醉枫桥 |
Hits:
Description: 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)
Platform: |
Size: 3072 |
Author: linann
|
Hits: