Biomedical documents may be classified or clustered based on their contents and topics. In classification, document categories are specified manually,[26] while in clustering, documents form algorithm-dependent, distinct groups.[27] These two tasks are representative of supervised and unsupervised methods, respectively, yet the goal of both is to produce subsets of documents based on their distinguishing features. Methods for biomedical document clustering have relied upon k-means clustering.[27]