Applications of a Novel Clustering Approach Using Non-Negative Matrix Factorization to Environmental Research in Public Health-Reference-Cited by-同舟云学术

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Applications of a Novel Clustering Approach Using Non-Negative Matrix Factorization to Environmental Research in Public Health

Published:2016-05-18 Issue:5 Volume:13 Page:509
ISSN:1660-4601
Container-title:International Journal of Environmental Research and Public Health
language:en
Short-container-title:IJERPH

Author:

Fogel Paul,Gaston-Mathé Yann,Hawkins Douglas,Fogel Fajwel,Luta George,Young S.

Publisher

MDPI AG

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Link

http://www.mdpi.com/1660-4601/13/5/509/pdf

Reference23 articles.

1. Inferential, robust non-negative matrix factorization analysis of microarray data

2. Convex and Semi-Nonnegative Matrix Factorizations

3. Fine particulate air pollution and its components in association with cause-specific emergency admissions

4. Learning the Parts of Objects by Non-Negative Matrix Factorization;Lee;Nature,1999

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1. On Rank Selection in Non-Negative Matrix Factorization Using Concordance;Mathematics;2023-11-10

2. Proteomic analysis of stratum corneum in Cutaneous T-Cell Lymphomas and psoriasis;Experimental Dermatology;2019-02-11

3. Atrophic scar formation in patients with acne involves long-acting immune responses with plasma cells and alteration of sebaceous glands;British Journal of Dermatology;2018-08-16

4. Transcriptional response to hypoxic stress in melanoma and prognostic potential of GBE1 and BNIP3;Oncotarget;2017-10-30

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