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[Graph programSPy-0.3

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: 216780 | Author: john | Hits:

[Graph programSPy-0.3

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 | Hits:

[AI-NN-PRspectral-0.2.tgz

Description: 谱聚类。 很好用的人工智能算法-Spectral clustering. Good use of artificial intelligence algorithms
Platform: | Size: 14336 | Author: jwj | Hits:

[Otherclustering

Description: python实现的聚类算法,2015年研究生数学建模第3小题b问;-a spectral clustering algorithm wrote by python
Platform: | Size: 64512 | Author: lili | Hits:

[Fractal programSpectralClustering

Description: spectral clustering using python
Platform: | Size: 422912 | Author: 胡一清 | Hits:

[Otherkernel_eca-master

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: 8192 | Author: daxingxing001 | Hits:

[AlgorithmData sets for spectral clustering

Description: 论文用的数据,非常实用。里面附带了论文的代码(The data set used in this paper is very practical)
Platform: | Size: 33792 | Author: szu_fkqf | Hits:

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