Sem Spirit


Data clustering is one of the methods of data analysis. It aims to divide a set of data into different homogeneous « packets », in that the data of each subset share common characteristics, which most often correspond to proximity criteria (computer similarity) that is defined introducing measures and classes of distance between objects. Data clustering is an unsupervised classification method (different from supervised classification where learning data is already tagged).