Text clustering is a very important technique in the field of data mining. It is widely used in information retrieval and text integration. Most existing studies focus on the optimization of feature ...

Microblog hot topic discovery is one of the research hotspots in the field of text mining. The distance function of traditional K-means leads to low clustering accuracy, which leads to poor hot topic ...

Text clustering is a foundational step in natural language processing (NLP), aimed at ... This approach improves interpretability and reinforces the semantic structure of clusters. Both methods were ...

James Franklin, former branch chief of the Hurricane Specialist Unit at the National Hurricane Center, said it’s important to focus on the clustering of the lines in the models and not ... That could ...