(Q57185245)

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Comparison of Positive Matrix Factorization and Multilinear Engine for the source apportionment of particulate pollutants

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Comparison of Positive Matrix Factorization and Multilinear Engine for the source apportionment of particulate pollutants (English)

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5

Philip K. Hopke

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Ziad Ramadan

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1

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Bass Eickhout

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2

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Xin-Hua Song

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3

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L.M.C. Buydens

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4

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publication date

April 2003

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published in

Chemometrics and Intelligent Laboratory Systems

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volume

66

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issue

1

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page(s)

15-28

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cites work

Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values

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https://api.crossref.org/works/10.1016%2FS0169-7439%2802%2900160-0

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Receptor Modeling Assessment of Particle Total Exposure Assessment Methodology Data

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Source identification of bulk wet deposition in Finland by positive matrix factorization

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Application of positive matrix factorization in source apportionment of particulate pollutants in Hong Kong

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The Multilinear Engine: A Table-Driven, Least Squares Program for Solving Multilinear Problems, including the n-Way Parallel Factor Analysis Model

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Identification of sources of Phoenix aerosol by positive matrix factorization

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Multielemental characterization of urban roadway dust

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Temporal and spatial variations of PM2.5 and PM10 aerosol in the Southern California air quality study

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10.1016/S0169-7439(02)00160-0

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(Q57185245)

Comparison of Positive Matrix Factorization and Multilinear Engine for the source apportionment of particulate pollutants

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