Search - EM Clustering

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[Algorithm] EMAlgorithm DL : 0: 上数据挖掘课的课件，是EM算法的，其中还包括最大似然值，最大似然估计，以及cluster-data mining,EM Algorithm ,Likelihood, Mixture Models and Clustering
Date : 2025-12-20 Size : 502kb User : Erin
[Algorithm] em DL : 0: 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 the statistical calculations, the maximum expected (EM) algorithm parameter maximum likelihood estimates or maximum a posteriori estimation algorithm to find the probability (probabilistic) model, in which the probability model is dependent on unobservable hidden variables (Latent Variable). Maximum expected areas often used in machine learning and computer vision, data clustering (Data Clustering).
Date : 2025-12-20 Size : 3.28mb User : 梦含
[Algorithm] em DL : 0: EM算法，用于实现数据集的聚类，这个是已经改进了的EM算法通过统计找到中心点再进行迭代。-EM algorithm for clustering data sets, this is the EM algorithm has been improved through the statistics to find the center of the re-iteration.
Date : 2025-12-20 Size : 7kb User : 辛欣
[Algorithm] Em DL : 0: 使用k均值算法计算聚类的重心，并用EM算法计算各聚类的参数-Using k-means clustering algorithm to calculate the center of gravity, and using EM algorithm to calculate the parameters of each cluster
Date : 2025-12-20 Size : 717kb User : libaobei
[Algorithm] EM_GMM DL : 0: 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
Date : 2025-12-20 Size : 1kb User : 李亮民
[Algorithm] em DL : 0: 在统计计算中，最大期望（EM）算法是在概率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性变量。最大期望算法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 computation, the maximum expectation (EM) algorithm is an algorithm to find the maximum likelihood estimation or the maximum posteriori estimation of parameters in the probability model, in which the probability model depends on the hidden variables that cannot be observed. Maximum expectation algorithm is often used in the field of machine learning and computer vision data clustering.)
Date : 2025-12-20 Size : 141kb User : Ohrid