Proximity measure It can be shown that the mean of the data points in the cluster minimizes the sse of the cluster The centroid(mean) of the i-th cluster is defined as X∈C In this equation, m, is the number of objects in the i-th cluster 8/20/2016 PATTERN RECOGNITIONProximity measure It can be shown that the mean of the data points in the cluster minimizes the SSE of the cluster. The centroid (mean) of the i-th cluster is defined as 𝐜𝑖 = 1 𝑚𝑖 ෍ 𝐱∈𝐶𝑖 𝐱 In this equation, mi is the number of objects in the i-th cluster 8/20/2016 PATTERN RECOGNITION 24