Document clustering is a way to organize large amounts of text documents into groups based on common words. A new algorithm called WDC (Wordsets-based Clustering) was created to efficiently cluster text documents by using sets of related words. This approach is better than other methods like K-means because it can handle big datasets and provide more understandable cluster descriptions. The WDC algorithm was found to be scalable, effective, and efficient for grouping text documents with similar words.