Page 25 - Jolliffe I. Principal Component Analysis
P. 25

List of Figures
                              xxiv
                                      Artistic qualities of painters: plot of 54 painters with respect
                                 5.2
                                      to their first two PCs. The symbol × denotes member of the
                                      ‘Venetian’ school. ......................             85
                                 5.3  Biplot using α = 0 for artistic qualities data. .......  97
                                 5.4  Biplot using α = 0 for 100 km running data (V1, V2, ...,
                                      V10 indicate variables measuring times on first, second, ...,
                                      tenth sections of the race). .................       100
                                 5.5  Biplot using α =  1  for 100 km running data (numbers
                                                       2
                                      indicate finishing position in race). .............   101
                                 5.6  Correspondence analysis plot for summer species at Irish
                                      wetland sites. The symbol × denotes site; ◦ denotes species. 105
                                 5.7  Local authorities demographic data: Andrews’ curves for
                                      three clusters. ........................             109
                                 6.1  Scree graph for the correlation matrix: blood
                                      chemistry data. ........................             116
                                 6.2  LEV diagram for the covariance matrix: gas
                                      chromatography data. ....................            136

                                 7.1  Factor loadings for two factors with respect to original and
                                      orthogonally rotated factors. ................       155
                                 7.2  Factor loadings for two factors with respect to original and
                                      obliquely rotated factors. ..................        156
                                 9.1  Two data sets whose direction of separation is the same as
                                      that of the first (within-group) PC. ............     202
                                 9.2  Two data sets whose direction of separation is orthogonal
                                      to that of the first (within-group) PC. ...........   203
                                 9.3  Aphids: plot with respect to the first two PCs showing four
                                      groups corresponding to species. ..............      215
                                 9.4  English counties: complete-linkage four-cluster solution
                                      superimposed on a plot of the first two PCs. .......  218

                                 10.1 Example of an outlier that is not detectable by looking at
                                      one variable at a time. ....................         234
                                 10.2 The data set of Figure 10.1, plotted with respect to its PCs.  236
                                 10.3 Anatomical measurements: plot of observations with respect
                                      to the last two PCs. .....................           244
                                 10.4 Household formation data: plot of the observations with
                                      respect to the first two PCs. ................        246
                                 10.5 Household formation data: plot of the observations with
                                      respect to the last two PCs. .................       247

                                 11.1 Loadings of first rotated autumn components for three
                                                                                      ˜
                                                                               ˜      ˜    275
                                      normalization constraints based on (a) A m ;(b) A m ;(c) A m
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