Dynamic clustering analysis of documents based on cluster centroids

This paper puts forward a method of documents dynamic clustering based on cluster centroids. First, the documents are modeled as elements in vector space and clustered based on some cluster centroids. Then the clustering results are dynamically adjusted based on the principle of group modification. Finally, the experiment results of documents clustering are contrasted, which show dynamic clustering can improve the performance of documents clustering to a certain extent.