Nearest centroid classifier: Difference between revisions

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{{Short description|A classification model in machine learning based on centroids}}

[[Image:Rocchioclassgraph.jpg|thumb|right|250px|Rocchio Classification]]

In [[machine learning]], a '''nearest centroid classifier''' or '''nearest prototype classifier''' is a [[statistical classification|classification model]] that assigns to observations the label of the class of training samples whose [[mean]] ([[centroid]]) is closest to the observation. When applied to [[text classification]] using [[vector space model|word vectors]] containing [[tf*idf]] vectorsweights to represent documents, the nearest centroid classifier is known as the '''Rocchio classifier''' because of its similarity to the [[Rocchio algorithm]] for [[relevance feedback]].<ref>{{cite book

| last1 = Manning

| first1 = Christopher

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| pmc=124443

| doi-access = free

| bibcode = 2002PNAS...99.6567T

}}</ref>