Research on text hierarchical clustering algorithm based on K-Means
基于KMeans的文本层次聚类算法研究

A new text hierarchical clustering algorithm based on K-Means was presented, which combined features from both K-Means and agglomerative approach that allowed them to reduce the early-stage errors made by agglomerative method and hence improved the quality of clustering solutions. The experimental evaluation shows that, our algorithm leads to better solutions than agglomerative methods.