Abstract: Semi-supervised symmetric non-negative matrix factorization (SNMF) utilizes the available supervisory information (usually in the form of pairwise constraints) to improve the clustering ...
More than a decade after Victoria Granoff introduced this classic Thanksgiving stuffing recipe, it remains a staff and fan favorite. Cooking an entire holiday dinner is time-intensive enough, so this ...
Abstract: Symmetric non-negative matrix factorization (Sym-NMF) decomposes a high-dimensional symmetric non-negative matrix into a low-dimensional non-negative matrix and has been successfully used in ...
This project implements Symmetric Non-negative Matrix Factorization (SymNMF) for clustering, combining Python and C for efficiency. It compares SymNMF with K-Means clustering on different datasets.
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