An improvement of Chinese text hierarchical clustering algorithm

Text clustering is to divide the series of documents into several text clusters, so that the topic text within the same text cluster is as close as possible, and the text between the different clusters of text have a smaller similarity. Common clustering algorithms include division of clustering[1][2], hierarchical clustering[3], density-based clustering[4], gridbased clustering[5][6] and model-based clustering[7], etc.