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Uses grid cells but only keeps information about grid cells that do actually contain data points and manages these cells in a tree-based access structure
Influence function: describes the impact of a data point within its neighborhood
Overall density of the data space can be calculated as the sum of the influence function of all data points
Clusters can be determined mathematically by identifying density attractors
Density attractors are local maximal of the overall density function
Center defined clusters: assign to each density attractor the points density attracted to it
Arbitrary shaped cluster: merge density attractors that are connected through paths of high density (> threshold)

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