An advanced cluster analysis method based on statistical test

The paper presents a novel clustering algorithm supervised by statistical tests. It deals simultaneously with three key data analysis problems: cluster tendency; cluster analysis; cluster validity. It provides an effective tool to analyze the validity and reasonableness of unsupervised pattern classification, especially in the case of a large number of samples. The experimental result illustrates its effectiveness.