/** *
This package provides several clustering algorithm implementations. Clustering usually groups a set of * objects into groups of similar items. The definition of similarity usually is up to you - for text documents, * cosine-distance/-similarity is recommended. Mahout also features other types of distance measure like * Euclidean distance. * * Input of each clustering algorithm is a set of vectors representing your items. For texts in general these are * TFIDF or * Bag of words representations of the documents. * *Output of each clustering algorithm is either a hard or soft assignment of items to clusters.
*/ package org.apache.mahout.clustering;