FLAME clustering: Difference between revisions

Revision as of 01:23, 31 May 2010

Revision as of 19:20, 31 May 2010

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{{COI|date=May 2010}}

'''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 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.

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==A simple illustration on a 2-Dimension testing dataset==

[[Image:FLAME_DemoFLAME Demo.png|800px]]

==See also==