Iterative Strict Density-Based Clustering for News Stream

News Streams are booming with the prosperity of the Internet, leading to increased demand for an efficient and effective news clustering method. Since news reports vary greatly in different countries, languages and news-topics, clustering diverse news has proven to be a big challenge for all researchers. The results of current clustering methods expose their inability to detect fine-grained topics. They tend to detect topics on a coarse-grained scale, resulting in clustering different fine-grained topics together.