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Similarity-based clustering methods separate data into clusters according to the pairwise similarity between the data, and the pairwise similarity is crucial for their performance.
A K-means clustering algorithm
J. A. Hartigan and M. A. Wong · 1979
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Some limit theorems for empirical processes
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Nonlinear component analysis as a kernel eigenvalue problem
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