نتایج جستجو برای: nonnegative matrix factorization

تعداد نتایج: 384517  

Journal: :Pattern Recognition Letters 2018
N. Benjamin Erichson Ariana Mendible Sophie Wihlborn J. Nathan Kutz

Nonnegative matrix factorization (NMF) is a powerful tool for data mining. However, the emergence of ‘big data’ has severely challenged our ability to compute this fundamental decomposition using deterministic algorithms. This paper presents a randomized hierarchical alternating least squares (HALS) algorithm to compute the NMF. By deriving a smaller matrix from the nonnegative input data, a mo...

Journal: :Journal of Computational and Applied Mathematics 2017

Journal: :Journal of the American Statistical Association 2019

Journal: :Journal of Informatics and Mathematical Sciences 2018

Journal: :SIAM Journal on Matrix Analysis and Applications 2023

Given a nonnegative matrix factorization, , and factorization rank, exact (exact NMF) decomposes as the product of two matrices, with columns, such . A central research topic in literature is conditions under which decomposition unique/identifiable up to trivial ambiguities. In this paper, we focus on partial identifiability, that is, uniqueness subset columns We start our investigations data‐b...

Journal: :IEEE Transactions on Knowledge and Data Engineering 2013

Unmixing of remote-sensing data using nonnegative matrix factorization has been considered recently. To improve performance, additional constraints are added to the cost function. The main challenge is to introduce constraints that lead to better results for unmixing. Correlation between bands of Hyperspectral images is the problem that is paid less attention to it in the unmixing algorithms. I...

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