This presentation was addressed to a specialized audience of people in Data Mining and Machine Learning. The talk provided a theory that showed how clustering stability can be used to choose the correct number of clusters, as well as demonstrate the importance of cluster stability and discussed the use of stability for clustering evaluation.
Bertrand Salem Clarke (UM), Hoyt Koepke (UM and U. Washington)
Banff International Research Station
Vancouver, Canada | December 15, 2011