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Wine
recognition
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Wine
recognition
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§Back§ |
These data are the results of a chemical analysis of
wines grown in the same region in Italy but derived
from three different cultivars. The analysis
determined the quantities of 13 constituents found
in each of the three types of wines. The initial
data set might have around 30 variables, but for
some reason we only have the 13 dimensional version.
Number of Instances: 178
Number of Attributes: 13
All attributes are continuous. No statistics
available, but suggest to standardise variables
for certain uses (e.g. for us with classifiers
which are NOT scale invariant)
Class Distribution:
Vista visualization: 6 unseparated items(3%)