In most data mining analyses, it is appropriate to apply a few transformations to the dataset in order to improve the accuracy of the learning models subsequently developed. Indeed, outlier correction techniques are examples of transformations of the original data that facilitate subsequent learning phases. The principal component method, described in Section 6.3.3, can also be regarded as a data transformation process.
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