Flood Clustering Analysis Based On Feature Selection
Weiping Cheng · Yellow River · 2011
Mitra algorithm was employed to select features of flood samples,and Kmeans and FCM were employed as the methods of 47 floods clustering in a basin.The results indicate that Mitra algorithm is effective in reducing redundant features.The results of flood clustering by Kmeans and FCM respectively have good agreement and the features of each flood category is obvious.