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Cluster analysis of atmospheric particles

Cluster Analysis of Chemical Compositions of Individual Atmospheric Particles Data... [Pg.118]

K-means cluster analysis is an excellent method for the reduction of individual-partide datai if extra clusters are used to allow for the non-spherical shape and natural variability of atmospheric particles. The "merge" method for choosing seedpoints is useful for detecting the types of lew abundance particles that are interesting for urban atmospheric studies. Application to the Phoenix aerosol suggests that the ability to discriminate between various types of crustal particles may yield valuable information in addition to that derived from particle types more commonly associated with anthropogenic activity. [Pg.129]

Beddows DCS, Dall osto M, Harrison RM (2009) Cluster analysis of rural, urban, and curbside atmospheric particle size data. Environ Sci Technol 43 4694-4700... [Pg.318]

T. W. Shatruck, M. S. Getmani, and P. R. Buscek, in Environmental Applications of Che-mometrics. J. J. Breen, Ed., American Chemical Socie, Washington, DC, 1985. Cluster Analysis of Chemical Compositions of Individual Atmospheric Particles Data. [Pg.211]

See other pages where Cluster analysis of atmospheric particles is mentioned: [Pg.119]    [Pg.121]    [Pg.123]    [Pg.125]    [Pg.127]    [Pg.129]    [Pg.119]    [Pg.121]    [Pg.123]    [Pg.125]    [Pg.127]    [Pg.129]    [Pg.124]    [Pg.389]    [Pg.118]    [Pg.419]    [Pg.585]    [Pg.591]    [Pg.192]    [Pg.562]    [Pg.225]    [Pg.173]    [Pg.615]    [Pg.669]    [Pg.28]    [Pg.189]   


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