Method for clustering huge amount of data and data mining system adopting the same

A method for clustering a huge amount of data is provided to improve upon the low analysis efficiency of the conventional clustering method. The method includes presenting the data in a form of histograms having a first data, a second data, and an amount of data meeting both the first data and the second data, generating a first projection result based on the first data and the amount of data and, setting a reference dividing point according to a clustering rule, generating a plurality of first clusters based on the negative peaks of the first projection result which has a smaller amount of data than the reference dividing point, generating a plurality of second projection results through projections of the plurality of first clusters and the second data, and clustering the second projection results through the clustering rule to generate a plurality of second clusters according to the clustering rule.