Time course measurements are becoming a common type of experiment in the use of
microarrays. The temporal order of the data and the varying length of sampling intervals are
important and should be considered in clustering time-series. However, the shortness of
gene expression time-series data limits the use of conventional statistical models and
techniques for time-series analysis. To address this problem, this paper proposes the fuzzy
short time-series (FSTS) clustering algorithm, which clusters profiles based on the similarity …