... We are exploring the use of unlabeled data for supervised classification and for semi-supervised clustering. Current automated classification methods rely heavily on supervised learning algorithms that require training data sets containing large amounts of previously classified, or labeled, data. ... Our project relies on statistical learning to combine labeled and unlabeled data in new ways. ... One set, , consists of the labeled data where is a feature vector and is a class label. ...