Chapter 7. Classification Analysis
In the context of data analysis, the main idea of classification is the partition of a dataset into labeled subsets. If the dataset is a table in a database, then this partitioning could amount to no more than the addition of a new attribute (that is, a new table column) whose domain (that is, range of values) is a set of labels.
For example, we might have the table of 16 fruits shown in Table 7-1:
Figure 7-1. The meta-algorithm generates the algorithm
The last column, labeled Sweet, is a nominal attribute that can be used to classify fruit: either it's sweet or it isn't. Presumably, every fruit type that exists could ...
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