A Novel Partitioning-Based Clustering Method and Generic Document Summarization

Abstract

This paper proposed the generic summarization method that extracts the most relevance sentences from the source document to form a summary. This method is based on clustering of sentences. The specificity of this approach is that the generated summary can contain the main contents of different topics as many as possible and reduce its redundancy at the same time. The clustering method satisfies as much homogeneity within each cluster as well as much separability between the clusters as possible