Least squares formulation of robust non-negative factor analysis
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A framework for regularized non-negative matrix factorization, with application to the analysis of gene expression dataDiscovering Multi-Scale Co-Occurrence Patterns of Asthma and Influenza with Oak Ridge Bio-Surveillance ToolkitContribution of point and small-scaled sources to the PM10 emission using positive matrix factorization modelCategorical dimensions of human odor descriptor space revealed by non-negative matrix factorizationChemical content and estimated sources of fine fraction of particulate matter collected in KrakowPAH contamination in Beijing's topsoil: A unique indicator of the megacity's evolving energy consumption and overall environmental qualityComposition and sources of fine particulate matter across urban and rural sites in the Midwestern United StatesSpatial/temporal variations and source apportionment of VOCs monitored at community scale in an urban areaUnderstanding atmospheric organic aerosols via factor analysis of aerosol mass spectrometry: a reviewMachine Learning: A Crucial Tool for Sensor DesignFast nonnegative matrix factorization algorithms using projected gradient approaches for large-scale problems.Nonnegative matrix factorization: an analytical and interpretive tool in computational biology.Spatial/temporal variations of elemental carbon, organic carbon, and trace elements in PM10 and the impact of land-use patterns on community air pollution in Paterson, NJ.A Bayesian Multivariate Receptor Model for Estimating Source Contributions to Particulate Matter Pollution using National Databases.Comparing multipollutant emissions-based mobile source indicators to other single pollutant and multipollutant indicators in different urban areasGenome-scale investigation of olfactory system spatial heterogeneityComposition and sources of fine and coarse particles collected during 2002-2010 in Boston, MA.Applications of a Novel Clustering Approach Using Non-Negative Matrix Factorization to Environmental Research in Public HealthAerosol particulate matter in the Baltimore metropolitan area: Temporal variation over a six-year period.Use of a GC-MS Organic Aerosol Monitor for In-Field Detection of Fine Particulate Organic Compounds in Source Apportionment.Quantitative Assessment of PM2.5 Sources and Their Seasonal Variation in Krakow.Review of receptor modeling methods for source apportionment.Constraint randomised non-negative factor analysis (CRNNFA): an alternate chemometrics approach for analysing the biochemical data sets.BTEX exposures in an area impacted by industrial and mobile sources: Source attribution and impact of averaging time.PM2.5 Source Apportionment: Reconciling Receptor Models for U.S. Nonurban and Urban Long-Term Networks.PM10 source apportionment in a Swiss Alpine valley impacted by highway traffic.Source apportionment of airborne nanoparticles in a Middle Eastern city using positive matrix factorization.Fine particulate matter and visibility in the Lake Tahoe Basin: chemical characterization, trends, and source apportionment.PM2.5 pollution from household solid fuel burning practices in Central India: 2. Application of receptor models for source apportionment.Source identification and apportionment of PM2.5 and PM2.5-10 in iron and steel scrap smelting factory environment using PMF, PCFA and UNMIX receptor models.Source apportionment of ultrafine and fine particle concentrations in Brisbane, Australia.Source apportionment of fine particles in Washington, DC, utilizing temperature-resolved carbon fractions.Assessing sources of PM2.5 in cities influenced by regional transport.An inter-comparison of PM10 source apportionment using PCA and PMF receptor models in three European sites.The use of source apportionment for air quality management and health assessments.Real-time transformation of outdoor aerosol components upon transport indoors measured with aerosol mass spectrometry.Source apportionment of PM(10) and PM(2.5) at multiple sites in the strait of Gibraltar by PMF: impact of shipping emissions.Assessment of the sources of suspended particulate matter aerosol using US EPA PMF 3.0.Multiple-year black carbon measurements and source apportionment using delta-C in Rochester, New York.Source appointment of fine particle number and volume concentration during severe haze pollution in Beijing in January 2013.
P2860
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P2860
Least squares formulation of robust non-negative factor analysis
description
article
@en
im Mai 1997 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована в травні 1997
@uk
ലേഖനം
@ml
name
Least squares formulation of robust non-negative factor analysis
@en
Least squares formulation of robust non-negative factor analysis
@nl
type
label
Least squares formulation of robust non-negative factor analysis
@en
Least squares formulation of robust non-negative factor analysis
@nl
prefLabel
Least squares formulation of robust non-negative factor analysis
@en
Least squares formulation of robust non-negative factor analysis
@nl
P1476
Least squares formulation of robust non-negative factor analysis
@en
P2093
Pentti Paatero
P356
10.1016/S0169-7439(96)00044-5
P577
1997-05-01T00:00:00Z