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Least squares formulation of robust non-negative factor analysis
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scholarly article
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title
Least squares formulation of robust non-negative factor analysis
(English)
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main subject
non-negative matrix factorization
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least squares method
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author
Pentti Paatero
series ordinal
1
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language of work or name
English
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publication date
May 1997
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published in
Chemometrics and Intelligent Laboratory Systems
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volume
37
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issue
1
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page(s)
23-35
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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%2896%2900044-5
retrieved
7 January 2021
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Source identification of bulk wet deposition in Finland by positive matrix factorization
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https://api.crossref.org/works/10.1016%2FS0169-7439%2896%2900044-5
retrieved
7 January 2021
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Component resolution using multilinear models.
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https://api.crossref.org/works/10.1016%2FS0169-7439%2896%2900044-5
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7 January 2021
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Tensorial resolution: A direct trilinear decomposition
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https://api.crossref.org/works/10.1016%2FS0169-7439%2896%2900044-5
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7 January 2021
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A determination of the sources of airborne particles collected during the regional air pollution study
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https://api.crossref.org/works/10.1016%2FS0169-7439%2896%2900044-5
retrieved
7 January 2021
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Robust Estimation of a Location Parameter
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https://api.crossref.org/works/10.1016%2FS0169-7439%2896%2900044-5
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7 January 2021
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10.1016/S0169-7439(96)00044-5
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