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{{StatsPsy}}
 
{{StatsPsy}}
{{PsyPerspective}}
 
 
'''Cluster analysis''' or '''clustering''' is a common technique for [[statistics|statistical]] [[data analysis]], which is used in many fields, including [[machine learning]], [[data mining]], [[pattern recognition]], [[image analysis]] and [[bioinformatics]]. Clustering is the [[classification]] of similar objects into different groups, or more precisely, the [[partition of a set|partitioning]] of a data set into [[subset]]s (clusters), so that the data in each subset (ideally) share some common trait - often proximity according to some defined [[metric (mathematics)|distance measure]].
 
'''Cluster analysis''' or '''clustering''' is a common technique for [[statistics|statistical]] [[data analysis]], which is used in many fields, including [[machine learning]], [[data mining]], [[pattern recognition]], [[image analysis]] and [[bioinformatics]]. Clustering is the [[classification]] of similar objects into different groups, or more precisely, the [[partition of a set|partitioning]] of a data set into [[subset]]s (clusters), so that the data in each subset (ideally) share some common trait - often proximity according to some defined [[metric (mathematics)|distance measure]].
   

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