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Spectral clustering is a clustering technique that uses the spectrum of the similarity matrix to perform dimensionality reduction before clustering in fewer dimensions. It is a powerful technique that can identify clusters of arbitrary shape and is robust to noise. It is also a popular technique for image segmentation.
Danial-Gharib/Spectral-Clustering
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Spectral clustering is a clustering technique that uses the spectrum of the similarity matrix to perform dimensionality reduction before clustering in fewer dimensions. It is a powerful technique that can identify clusters of arbitrary shape and is robust to noise. It is also a popular technique for image segmentation.
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