2010
DOI: 10.1016/j.envsoft.2009.12.001
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Environmental chemistry through intelligent atmospheric data analysis

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Cited by 56 publications
(36 citation statements)
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References 49 publications
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“…Over 1.2 million single particle mass spectra were generated by the ATOFMS during the sampling period and clustered using the K-means algorithm (K = 80), described in detail elsewhere (Gross et al, 2010;Healy et al, 2009Healy et al, , 2010. Clusters exhibiting very similar average mass spectra (including those with the same major ions but varying relative signal intensities), comparable temporal trends and size distributions were merged.…”
Section: Atofms Data Analysismentioning
confidence: 99%
“…Over 1.2 million single particle mass spectra were generated by the ATOFMS during the sampling period and clustered using the K-means algorithm (K = 80), described in detail elsewhere (Gross et al, 2010;Healy et al, 2009Healy et al, , 2010. Clusters exhibiting very similar average mass spectra (including those with the same major ions but varying relative signal intensities), comparable temporal trends and size distributions were merged.…”
Section: Atofms Data Analysismentioning
confidence: 99%
“…A Kmeans algorithm (K = 80), as described in detail by Healy et al (2010) and Gross et al (2010), was used to classify aerosol mass spectra into different particle classes. More than 40 distinct ATOFMS particle classes were identified and subsequently grouped into 8 general categories for clar- ity.…”
Section: Aerosol Chemical Compositionmentioning
confidence: 99%
“…During the three week campaign 558 740 ATOFMS single particle mass spectra were generated and subsequently imported into ENCHILADA (Environmental Chemistry through Intelligent Data Analysis), a freeware single particle data analysis software package (Gross et al, 2010) and clustered using the K-means algorithm (MacQueen, 1967), (K = 50). ENCHILADA has been previously used to classify ATOFMS mass spectra generated from ambient particles at sites in Switzerland and East St. Louis, Illinois (Herich et al, 2008;Snyder et al, 2009).…”
Section: Atofms Data Analysismentioning
confidence: 99%