Table 1. Results of correlation analysis and hierarchical clustering.
subject# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
new dimension of | ||||||||||||
PC_vector space | 104 | 101 | 126 | 116 | 117 | 112 | 97 | 122 | 95 | 124 | 122 | 130 |
correlation VM/VL, | ||||||||||||
mean · 100 | 83 | 72 | 75 | 82 | 80 | 79 | 84 | 71 | 84 | 65 | 76 | 70 |
correlation VM/VL, | ||||||||||||
ste. · 100 | 0.1 | 0.2 | 0.1 | 0.1 | 0.1 | 0.2 | 0.1 | 0.2 | 0.1 | 0.2 | 0.1 | 0.2 |
correlation VM/VL, | ||||||||||||
slope · 100000 | 1.0 | 3.6 | 0.0 | -6.1 | -0.4 | 1.8 | 0.7 | -0.3 | -2.0 | 7.3 | 3.7 | -0.6 |
correlation VM/VL, | ||||||||||||
p of slope · 100 | 0.4 | 0.0 | 92 | 0.0 | 37 | 0.2 | 4 | 57 | 0.0 | 0.0 | 0.0 | 19 |
correlation paired | ||||||||||||
difference, mean ·100 | 2.1 | 0.2 | 0.7 | 3.5 | 2.4 | 2.1 | 3.4 | 1 | 4.1 | 0.9 | 0.6 | 1.7 |
correlation paired | ||||||||||||
difference, ste. · 100 | 0.2 | 0.1 | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 |
dissimilarity VM, mean | ||||||||||||
of all combinations·100 | 19 | 15 | 17 | 18 | 20 | 20 | 18 | 21 | 19 | 19 | 21 | 24 |
dissimilarity VM, | ||||||||||||
std. · 100 | 5 | 4.6 | 4.8 | 4.5 | 4.6 | 5.1 | 5.1 | 5.3 | 5.8 | 7.3 | 5.1 | 5.4 |
cut-off for hierarchical | ||||||||||||
clustering, VM · 100 | 24 | 19 | 22 | 22 | 25 | 25 | 23 | 26 | 24 | 26 | 26 | 29 |
number of clusters, VM | 65 | 50 | 56 | 62 | 70 | 56 | 56 | 57 | 44 | 20 | 60 | 56 |
max. number of steps | ||||||||||||
in a cluster, VM | 54 | 125 | 84 | 54 | 57 | 89 | 78 | 70 | 69 | 219 | 60 | 74 |
median of number of | ||||||||||||
clusters, VM | 17 | 17 | 18 | 18 | 13 | 16 | 19 | 15 | 26 | 30 | 20 | 19 |
number of clusters, | ||||||||||||
VM surr | 113 | 78 | 86 | 111 | 123 | 118 | 115 | 99 | 78 | 75 | 114 | 130 |
max. number of steps | ||||||||||||
in a cluster, VM surr | 82 | 55 | 81 | 50 | 39 | 47 | 76 | 61 | 71 | 284 | 60 | 44 |
median of number of | ||||||||||||
clusters, VM surr | 7 | 10 | 9 | 7 | 7 | 5 | 6 | 7 | 11 | 3 | 8 | 5 |
dissimilarity VL, mean | ||||||||||||
of all combinations·100 | 18 | 15 | 19 | 19 | 20 | 17 | 18 | 20 | 19 | 19 | 20 | 22 |
dissimilarity VL, | ||||||||||||
std.·100 | 5 | 4.3 | 4.4 | 5.8 | 5.2 | 5.2 | 5.2 | 4.8 | 5.7 | 4.3 | 5.1 | 5.1 |
cut-off for hierarchical | ||||||||||||
clustering, VL · 100 | 23 | 19 | 24 | 25 | 25 | 22 | 23 | 25 | 25 | 23 | 25 | 27 |
number of clusters, VL | 59 | 60 | 70 | 42 | 54 | 53 | 58 | 61 | 53 | 76 | 62 | 57 |
max. number of steps | ||||||||||||
in a cluster, VL | 81 | 61 | 40 | 101 | 76 | 70 | 95 | 43 | 116 | 39 | 72 | 50 |
median of number of | ||||||||||||
clusters, VL | 17 | 17 | 16 | 20 | 20 | 17 | 16 | 14 | 18 | 15 | 17 | 18 |
number of clusters, | ||||||||||||
VL surr | 107 | 85 | 116 | 74 | 102 | 76 | 110 | 99 | 105 | 114 | 102 | 119 |
max. number of steps | ||||||||||||
in a cluster, VL surr | 69 | 47 | 51 | 89 | 87 | 67 | 92 | 38 | 136 | 50 | 79 | 73 |
median of number of | ||||||||||||
clusters, VL surr | 6 | 9 | 7 | 9 | 6 | 9 | 7 | 7 | 6 | 8 | 9 | 5 |