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Connection

Nicholas Pingitore to Principal Component Analysis

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This is a "connection" page, showing publications Nicholas Pingitore has written about Principal Component Analysis.
Nicholas Pingitore
Connection Strength
0.443
Principal Component Analysis
  1. Olvera HA, Garcia M, Li WW, Yang H, Amaya MA, Myers O, Burchiel SW, Berwick M, Pingitore NE. Principal component analysis optimization of a PM2.5 land use regression model with small monitoring network. Sci Total Environ. 2012 May 15; 425:27-34.
    View in: PubMed
    Score: 0.406
  2. Raysoni AU, Armijos RX, Weigel MM, Echanique P, Racines M, Pingitore NE, Li WW. Evaluation of Sources and Patterns of Elemental Composition of PM2.5 at Three Low-Income Neighborhood Schools and Residences in Quito, Ecuador. Int J Environ Res Public Health. 2017 06 23; 14(7).
    View in: PubMed
    Score: 0.037
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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