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A fundamental step in many data-analysis techniques is the construction of an affinity matrix describing similarities between data points.
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A tutorial on spectral clustering
Ulrike Von Luxburg · 2007
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Doubly stochastic normalization for spectral clustering
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The sinkhorn–knopp algorithm: convergence and applications
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A review of matrix scaling and sinkhorn’s normal form for matrices and positive maps
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Dissecting the multicellular ecosystem of metastatic melanoma by single-cell rna-seq
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A new derivation of eigenvalue inequalities for the multinomial distribution
Jacques Bénasséni · 2012
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Matrix Analysis
Roger A. Horn and Charles R. Johnson · 2012
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Fast interpolation-based t-sne for improved visualization of single-cell rna-seq data
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Manifold learning with bi-stochastic kernels
Nicholas F Marshall and Ronald R Coifman · 2019
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Feature selection and dimension reduction for single-cell rna-seq based on a multinomial model
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Error estimates for spectral convergence of the graph laplacian on random geometric graphs toward the laplace–beltrami operator
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