TERMIUM Plus^®

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Clusters are dense regions in the data space, separated by regions of the lower density of points. The DBSCAN algorithm is based on [the] intuitive notion of "clusters" and "noise." The key idea is that for each point of a cluster, the neighborhood of a given radius has to contain at least a minimum number of points.  3, fiche 1, Anglais, - DBSCAN%20clustering%20algorithm

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DBSCAN: density-based spatial clustering of applications with noise.  3, fiche 1, Anglais, - DBSCAN%20clustering%20algorithm

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DBSCAN : density-based spatial clustering of applications with noise.  1, fiche 1, Français, - algorithme%20DBSCAN

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