Personalized Fashion Advice - Smart Information Systems: Computational Intelligence for Real-Life Applications - page 221

Customers' Age, Height, and Weight

100 years

90 years

200

80 years

70 years

190

60 years

55 years

180 50 years

45 years

40 years

35 years

170

30 years

25 years

20 years

160

10 years

0 years

60 80 100 120

[weight] kg

Fig. 8.6 Customer characteristics. The plot shows the relations between customers' weight (x-axis),
height (y-axis), and age (encoded as color scheme, see right-hand side )

32x32

32x33

32x34

34x34

34x33

34x32

34x36

32x30

32x36

32x31

36x34

30x32

36x36

32x38

30x30

32x29

34x38

30x33

36x33

34x31

30x34

30x31

30x36

36x38

34x30

30x29

36x32

32x40

30x38

34x40

36x40

34x29

30x40

32x28

33x32

36x31

30x28

33x33

36x30

0.00 0.02 0.04 0.06 0.08 0.10 0.12

Fig. 8.7 Distribution of trousers sizes. The figure shows the relative frequency of individual trousers
sizes