Spectral embedding using Laplacian Eigenmaps
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Updated
Oct 15, 2018 - MATLAB
Spectral embedding using Laplacian Eigenmaps
In this project, I implemented few .m functions which allow to reorder a sparse matrix read from a Matrix Market file using either the Reverse Cuthill-McKee (RCM) or Nested Dissection (ND) algorithms.
Denoise Sparse Low-Rank matrices using convex non-convex priors
Sparse Coding - RASL
Ising model simulation using the Swendsen-Wang algorithm
In this project, I implemented few .m functions which allow to reorder a sparse matrix read from a Matrix Market file using the Reverse Cuthill-McKee algorithm. In addition to reordering, it is possible to write the reordered sparse matrix to a Matrix Market file, plot it side-by-side with the original, compute few statistics about it and output…
Applied Linear Algebra
Matlab matrix with unlimited size and single-digit precision
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