计算机科学
計算機科學
계산궤과학
COMPUTER SCIENCE
2000年
12期
76-80
,共5页
李斌%谭立湘%章劲松%庄镇泉
李斌%譚立湘%章勁鬆%莊鎮泉
리빈%담립상%장경송%장진천
Data mining%Clustering analysis%Time series%Neural network%Algorithm FSART
According to the characteristics of data mining,some improvements are made to the neural network fuzzy clustering algorithm FSART to make it more efficient and can perform incremental clustering. For the need of the clustering analysis of time series,a new fuzzy membership expression that can describe the modality similarity of vectors is proposed. The new fuzzy membership expression and the improved FSART algorithm are combined to implement the clustering analysis of the nonstationary time series.
