A state-of-the-art survey on semantic similarity for document clustering using GloVe and density-based algorithms

<p><span>Semantic similarity is the process of identifying relevant data semantically. The traditional way document by using synonymous keywords and syntactician. In comparison, semantic to find similar meaning words semantics. Clustering a concept grouping objects that have same features properties as cluster separate from those different properties. clustering, documents are clustered techniques with measurements. One common density-based clustering algorithms density points main strategic measure between them. this paper, state-of-the-art survey presented analyze for documents. Furthermore, evaluation measures investigated selected grasp ones. delivered review revealed most used in DBSCAN DPC. effective measurement has been algorithms, specifically DPC, Cosine F-measure performance accuracy evaluation.</span></p>