Description: Multiclass Spectral Clustering Algorithm，和Dominant-set算法同属于较常用的聚类算法，用于图像分割等-Multiclass Spectral Clustering Algorith m, and Dominant-set algorithm is more commonly used with the clustering algorithm for image segmentation, etc. Platform: |
Size: 1024 |
Author:sai |
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Description: 自适应算法中的LMS算法的例子，以及空间谱算法中SER算法的实例，希望能对你有帮助。-adaptive algorithm LMS algorithm example, as well as spatial spectral algorithm SER algorithm example, The hope is to help you. Platform: |
Size: 2048 |
Author:张生 |
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Description: Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more. Platform: |
Size: 216064 |
Author:john |
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Description: 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. Platform: |
Size: 292864 |
Author:zouhaishuang |
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Description: 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 algorithm has been shown to be more effective in finding clusters than some traditional algorithms such as kmeans. To perform clustering on large data sets, we implement various ways of approximating the dense similarity matrix, including nearest neighbors and the Nystrom method. Platform: |
Size: 15799296 |
Author:ZC |
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Description: 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. Platform: |
Size: 302080 |
Author:liulili |
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Description: 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. Platform: |
Size: 1024 |
Author:liulili |
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Description: 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 Machine Intelligence, 2010
This code has been tested under 64-bit Linux environment using MATLAB 7.4.0.287 (R2007a).
You will be able to regenerate experiment results in the paper. However, results may be
slightly different due to the randomness, the CPU speed, and the load of your computer.
-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 Machine Intelligence, 2010
This code has been tested under 64-bit Linux environment using MATLAB 7.4.0.287 (R2007a).
You will be able to regenerate experiment results in the paper. However, results may be
slightly different due to the randomness, the CPU speed, and the load of your computer.
Platform: |
Size: 15807488 |
Author:cc |
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Description: 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 for data transformation and dimensionality reduction. Kernel ECA reveals structure relating to the Renyi entropy of the input space data set, estimated via a kernel matrix using Parzen windowing. This is achieved by projections onto a subset of entropy preserving kernel principal component analysis (kernel PCA) axes. This subset does not need, in general, to correspond to the top eigenvalues of the kernel matrix, in contrast to the dimensionality reduction using kernel PCA. We show that kernel ECA may produce strikingly different transformed data sets compared to kernel PCA, with a distinct angle-based structure. A new spectral clustering algorithm utilizing this structure is developed with positive results. Furthermore, kernel ECA is shown to be an useful alternative for pattern denoising. Platform: |
Size: 3072 |
Author:johhnny |
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Description: 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 Platform: |
Size: 20480 |
Author:wgw |
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Description: 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. Platform: |
Size: 9216 |
Author:章丽 |
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Description: 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 Platform: |
Size: 351232 |
Author:王风 |
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Search - spectral clustering matlab