Complete versus partial A complete clustering assigns every object to a cluster. a partial clustering does not assign every object to a cluster. The motivation of partial clustering is that some objects in a data set may not belong to well-defined groups Instead they may represent noise or outliers 8/20/2016 PATTERN RECOGNITIONComplete versus partial A complete clustering assigns every object to a cluster. A partial clustering does not assign every object to a cluster. The motivation of partial clustering is that some objects in a data set may not belong to well-defined groups. Instead, they may represent noise or outliers. 8/20/2016 PATTERN RECOGNITION 11