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该算法包包含了hierichal,kmeans,em聚类算法,非常实用。-The algorithm package contains hierichal, kmeans, em clustering algorithm is very practical.
Date : 2025-12-20 Size : 24kb User : 项龙江

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EM 算法MATLAB代码,用于数据聚类。-em algorithm which is used in data clustering.
Date : 2025-12-20 Size : 6kb User : liuweimin

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
Date : 2025-12-20 Size : 4kb User : xiajulong

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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
Date : 2025-12-20 Size : 1kb User : hqh

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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
Date : 2025-12-20 Size : 3kb User : 郭书恒

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实现EM算法的MATLAB仿真程序,利用高斯混合模型实现EM聚类算法,并比较估计参数。-EM algorithm to achieve the MATLAB simulation program, using Gaussian Mixture Model EM clustering algorithm, and compare the estimated parameters.
Date : 2025-12-20 Size : 1kb User : 闻辉

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实现利用高斯分布聚类,即完成em算法,直接在matlab上运行,可以作图直观显示(二维数据)-Achieve Gaussian distribution clustering, complete em algorithm, running directly on matlab, you can visualize mapping (two-dimensional data)
Date : 2025-12-20 Size : 1kb User : 宁永恒

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.!
Date : 2025-12-20 Size : 40kb User :

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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,
Date : 2025-12-20 Size : 3kb User : 张磊

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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 statistical calculation, the expectation maximization (EM) algorithm in probability (probabilistic) maximum likelihood estimation and maximum a posteriori estimation algorithm for parameters in the model, the probability model depends on unobservable latent variable (Latent Variable). Maximum expectations are often used in machine learning and computer vision for data clustering (Data, Clustering) fields.)
Date : 2025-12-20 Size : 1kb User : 橡树

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一个EM算法 这是通过高斯混合模型进行聚类的EM算法的实现,使用图形在线表示。(EM algorithm This is an implementation of the EM algorithm for Clustering via Gaussian mixture models, using graphical on-line representation.)
Date : 2025-12-20 Size : 2kb User : ykkhds

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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.)
Date : 2025-12-20 Size : 4kb User : 鱼干儿
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