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这是一篇详细介绍人脸检测与语音驱动口型的文章，其中使用了高斯混合模型采取了无监督聚类的方法，希望对你有用。,This is a detailed introduction Face Detection and voice-driven I-type article, which uses the Gaussian mixture model taken unsupervised clustering method, in the hope that useful to you.
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Unsupervised Learning and Clustering
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Clustering is the unsupervised classification of patterns (observations, data items,
or feature vectors) into groups (clusters). The clustering problem has been
addressed in many contexts and by researchers in many disciplines this reflects its
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This file is about unsupervised clustering
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关键帧的提取方法的研究，对现有算法进行了总结分析，提出一种采用无监督聚类的自适应关键帧提取算法。-Keyframe extraction method, the existing algorithms were analyzed to propose a unsupervised clustering adaptive key frame extraction algorithm.
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关于变化检测的东西，很好!Fuzzy clustering algorithms for unsupervised change detection in remote sensing images-The Change Detection!Fuzzy clustering algorithms for unsupervised change detection in remote sensing images
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Clustering and
Unsupervised Classification
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提出了一种多迸制频移键控(M娲K)信号调制分类及解调方法，选取截获接收机输出的MFSK信
号的时频脊线作为分类特征，利用无监督聚类算法求取最佳聚类数M．利用时频脊线的Ham：小波变换
估计码元宽度，并且利用对应最佳聚类数的聚类中心确定抽判门限，通过对时频脊线抽样判决，实现了
MFSK信号的解调．理论分析和对实际信号的处理结果证明了此算法的可行性．-new algorithm is proposed for elassillcation and demodulation of MFSK
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k-means is one of the simplest unsupervised learning algorithms that solve the well known clustering problem. The procedure follows a simple and easy way to classify a given data set through a certain number of clusters (assume k clusters) fixed apri
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