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/**
 * 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;