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Connection

SE-KANG KIM to Principal Component Analysis

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This is a "connection" page, showing publications SE-KANG KIM has written about Principal Component Analysis.
SE-KANG KIM
Connection Strength
0.454
Principal Component Analysis
  1. Comparing patterns of component loadings: principal component analysis (PCA) versus independent component analysis (ICA) in analyzing multivariate non-normal data. Behav Res Methods. 2012 Dec; 44(4):1239-43.
    View in: PubMed
    Score: 0.364
  2. Identifying between-person and within-person factors to enhance understanding of observed score profiles. Br J Math Stat Psychol. 2013 Nov; 66(3):435-51.
    View in: PubMed
    Score: 0.090
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.