FLAME clustering: Difference between revisions

Revision as of 13:17, 15 October 2011

Revision as of 22:54, 8 February 2013

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{{COI|date=August 2010}}

'''Fuzzy clustering by Local Approximation of MEmberships (FLAME)''' is a [[data clustering]] algorithm that defines clusters in the dense parts of a dataset and performs 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 are used to constrain the memberships of neighboring objects in the fuzzy membership space.

==Description of the FLAME algorithm==