Proximity measure The goal of the clustering is typically expressed by an objective function Consider data whose proximity measure is Euclidean distance For our objective function, which measures the quality of a clustering, we can use the sum of the squared error( sse) 8/20/2016 PATTERN RECOGNITIONProximity measure The goal of the clustering is typically expressed by an objective function. Consider data whose proximity measure is Euclidean distance. For our objective function, which measures the quality of a clustering, we can use the sum of the squared error (SSE). 8/20/2016 PATTERN RECOGNITION 21