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这是用matlab编的谱聚类程序，该方法能有效的用于数据分类。,This is a matlab procedures for the spectral clustering.The method is effective for data classification.
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谱聚类算法进行图像分割，该算法应用MATLAB运行。-Spectral clustering algorithm for image segmentation, the algorithm is applied to run MATLAB.
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谱聚类和SVM相结合的图像分割程序,这是用matlab编的谱聚类程序，该方法能有效的用于数据分类。-This is a matlab procedures for the spectral clustering.The method is effective for data classification.
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njw谱聚类算法，读者可以参考用于科研用途，其中的参数需要自己设定-spectral clustering algorithm of NJW
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基于MATLAB实现的谱聚类算法，用于图像分割-MATLAB-based implementation of the spectral clustering algorithm for image segmentation
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一款功能强大的分类算法软件包，在matlab环境下使用。详见如下网站
http://mloss.org/software/view/133/-A MATLAB spectral clustering package to deal with large data sets. Our tool can handle large data sets (200,000 RCV1 data) on a 4GB memory general machine. Spectral clustering a
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This directory includes sources used in the following paper:
Parallel Spectral Clustering in Distributed Systems
Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen Lin, and Edward Chang
Accepted by IEEE Transactions on Pattern Analysis and
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用于图像分割的自调整普聚类算法，可实现大多数图像的无监督分割-Self-tunning spectral clustering for image segmentation
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Kernel Entropy Component Analysis,KECA方法的作者R. Jenssen自己写的MATLAB代码，文章发表在2010年5月的IEEE TPAMI上面-Kernel Entropy Component Analysis, by R. Jenssen, published in IEEE TPAMI 2010.
We introduce kernel entropy component analysis (kernel ECA) as a new method
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spectral-clustering-demo 谱聚类的matlab演示程序，是学习谱聚类的好资料，经调试通过，包含n-cut和改进的n-cut-spectral-clustering-demo demo matlab spectral clustering, spectral clustering is good information to learn by debugging through, including the n-cut and improving the n-cut
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A matlab app for spectral clustering
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An Fast and efficient spectral clustering algorithm, which could perform fast and efficient spectral clustering process.
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基于谱聚类分区的matlab程序实现，可以运行。程序给出的是118标准IEEE算例。结果用图形显示很直观，有需要的可以借鉴。-Matlab program based on spectral clustering partition, you can run. The program gives 118 standard IEEE example. The results are graphically displays very intuitive, need to learn from.
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谱聚类的matlab实现，其中包括k-means的实现，谱聚类聚类结果要优于k-means的聚类结果-Spectral clustering matlab code, including the code of k-means, spectral clustering results is better than k-means clustering results
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matlab-Spectral Clustering
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用谱聚类的方法，matlab作为工具，将样本数据进行分类-spectral clustering
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matlab可用的谱聚类代码,有需要可看看，有帮助-spectral clustering matlab code is available, there is a need to look at, there is help
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用matlab实现的谱聚类算法，简单实用，已测试通过-Using spectral clustering algorithm matlab realized, simple and practical, have been tested
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实现点的聚类，并用做图像分割，来源是文章：Self-Tuning Spectral Clustering
(作者: Lihi Zelnik-Manor, Pietro Perona )(point clustering and image segmentation, algorithm is from paper:Self-Tuning Spectral Clustering(author: Lihi Zelnik-Manor, Pietro Perona ))
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谱聚类能够识别任意形状的样本空间且收敛于全局最优解，其基本思想是利用样本数据相似矩阵的进行特征分解后得到的特征向量进行聚类，程序进行了几种不同聚类算法的比较，包括Q矩阵聚类，kmeans聚类，第一特征分量聚类，第二广义特征分量聚类，公用数据生成和近邻矩阵生成(Spectral clustering can distinguish arbitrary sample space and converge to the global optimal solution, the basic idea i
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