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pro vyhledávání: '"Andrews, Jeffrey L."'
Nonnegative matrix factorization (NMF) is a popular method used to reduce dimensionality in data sets whose elements are nonnegative. It does so by decomposing the data set of interest, $\mathbf{X}$, into two lower rank nonnegative matrices multiplie
Externí odkaz:
http://arxiv.org/abs/2107.00744
As data sets continue to grow in size and complexity, effective and efficient techniques are needed to target important features in the variable space. Many of the variable selection techniques that are commonly used alongside clustering algorithms a
Externí odkaz:
http://arxiv.org/abs/1303.5294