FLAME clustering: Difference between revisions

Revision as of 11:40, 27 November 2007

Revision as of 12:56, 27 November 2007

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'''Fuzzy clustering by Local Approximation of MEmberships (FLAME)''' is a novel [[data clustering]] algorithm that defines clusters in the dense parts of a dataset and perform cluster assignment solely based on the '''neighborhood relationships''' among objects. The key feature of this algorithm is that, the neighborhood relationships among neighboring objects in the feature space isare used to constrain the memberships of neighboring objects in the fuzzy membership space.

==Description of the FLAME algorithm==