24.4 Cluster Analysis for Variables
Consider again the file CARS.MTW, already used in Chapter 3, that contains the following characteristics of a total of 236 cars:
| Columna | Contenido |
| C1 | Maker |
| C2 | Model |
| C3 | Price (in Euros) |
| C4 | Number of cylinders |
| C5 | Displacement (cc) |
| C6 | Power (CV) |
| C7 | Length (cm) |
| C8 | Width (cm) |
| C9 | Height (cm) |
| C10 | Consumption (liters/100 km) |
| C11 | Maximum speed (km/h) |
| C12 | Acceleration (seconds to go from 0 to 100 km/h) |
The technique is similar to the cluster analysis for observations, but now the aim is to group variables. This can be helpful to reduce their number grouping them into new ones, or just to have a list of the available ‘families’ of the variables.
Stat > Multivariate > Cluster Variables
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