Document clustering technology is widely used in text mining and information retrieval systems. Traditional methods focus on keywords, but ignore the relationships between them, leading to high complexity. To address this, a new method called DFIC was developed for Chinese document clustering. DFIC accurately identifies topics and clusters documents accordingly, achieving a precision of 92.76%, higher than traditional methods.