Fig. 3From: A clustering algorithm for multivariate data streams with correlated componentsThe two possible situations, after the centers’ perturbation, when \(\mathbf {x}\) is closer to a point \(\mathbf {x}_o\) of the retained set in the first comparison. Left: the points \(\mathbf {x}\) and \(\mathbf {x}_o\) are joined to form a new cluster; right: \(\mathbf {x}\) and \(\mathbf {x}_o\) are moved to RSBack to article page