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这是关于谱聚类在汉字聚类领域应用的文章，谱聚类表现出比k-means更好的聚类效果。-This is the article on the spectral clustering in the field of Chinese characters clustering, spectral clustering performance better than the k-means clustering effect.
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利用谱聚类方法在特
征向量空间中对原始样本数据进行重新表述使得在新表述中同一聚类中的样本能够更好地积聚在一起构建聚类核函数 并进而构造聚类核半监督支持向量机 使样本更好地满足半监督学习必须遵循的聚类假设 -Restated in the new formulation in the same cluster sample be better able to accumulate together to build the clustering of nuclear function and
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关于谱聚类的一片综述文章，非常适合需要学习谱聚类的同学- A Tutorial about spectral clustering, introduced the function and algorithm of different spectral clustering
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spectral clustering ensemble to SAR image segmentation.
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a spectral clustering algorithm based on fuzzy information
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spectral clustering with fuzzy similarity measure
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Spectral clustering with eigenvector selection based on entropy ranking
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可伸缩的约束谱聚类论文，效果挺不错的，值得学习-Scalable constraints spectral clustering
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This file is about KFCM clustering of hyper spectral imageris.
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可实现对二维数据的聚类，包括压缩比、运行时间和计算复原图像的峰值信噪比,对信号进行频谱分析及滤波。- Can realize the two-dimensional data clustering, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, The signal spectral analysis and filtering.
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用MATLAB实现动态聚类或迭代自组织数据分析，可实现对二维数据的聚类，现代信号处理中谱估计在matlab中的使用。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, Can realize the two-dimensional data clustering, Modern signal processing used in the spectral estimation in matla
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