Effective fuzzy cluster method for dividing reservoir flood season
Siyi Hu · Advances in Water Science · 2007
The division of reservoir flood season is a multi-dimension time series cluster question of the unknown number of cluster,so the cluster methods are in demanded to hold the capacities of dealing with multi-dimension,time series and cluster validity.But no one can meet all these needs.Therefore,based on the fuzzy C-means cluster method and the compact and separate cluster validity function,a dynamic fuzzy C-means clustering method and corresponding cluster validity function based time are put forward,and a set of self-contained modeling steps is taken coupling the two methods above.There is a complex nonlinear optimal question in the model,and the regular optimal method is very difficult to solve it.By using the real coding based accelerating genetic algorithm to solve it is very effective and can overcome the initialization value sensitivity difficulty from the regular iterative optimal method used for the fuzzy C-means cluster.Its test and application results show that it is very effective.