EXPERT SYSTEMS WITH APPLICATIONS, cilt.38, sa.5, ss.5028-5035, 2011 (SCI-Expanded)
In the current paper, time series labeling task is analyzed and some solution algorithms are presented. In these algorithms, fuzzy c-means clustering, which is one of the unsupervised learning methods, is used to obtain the labels of the time series. Then K-nearest neighborhood (KNN) rule is performed on the labels to obtain more relevant smooth intervals.