Unsupervised Preprocessing

When performing unsupervised learning, the machine is presented with unlabeled data. (Unlabeled data has no target.) Unsupervised learning algorithms seek to discover intrinsic patterns that underlie the data, such as a clustering parameter or a redundant parameter (dimension) that can be reduced.

References

SAS Institute Inc. (n.d.). Decision Trees. In SAS® Visual Data Mining and Machine Learning.Link.