Fig. 1From: A clustering algorithm for multivariate data streams with correlated componentsA typical situation in which the shape of the point clouds must be taken into account for the points assigment: two clusters of gaussian points are represented, both composed by 100 data points. The new data point P is closer to the cluster center A if we use a global metric, like e.g. the Euclidean distance, but the point is more likely to belong to the cluster centered at BBack to article page