This is because, IC only relies on the cosine similarity between textual features of tweets to form clusters, while IC-Time enforces a time constraint in the similarity measure to reflect the time locality of events, which thus leads to better clustering accuracy.
for this purpose, we design an efficient single-pass clustering algorithm which clusters the stream of tweets in an incremental manner.