Abstract: The FastICA algorithm is applied to process the 1∶10 000 soil geochemical data in the area of Dachaidan town in Qinghai province.The correlation coefficients are introduced to overcome the limitation of sequential uncertainty after the separation of FastICA algorithm，and the cumulative frequency method is used to solve the problem of data amplitude uncertainly after separation.The elements anomaly zoning sequences are divided，among which 85%，95% and 98% are selected as the three levels of anomaly in classification.It is clear that the FastICA algorithm takes full consideration of the characteristics of high order statistics，so the data from the algorithm can more clearly reflect the spatial distribution characteristics of elements compared with delineating anomaly by the traditional cumulative frequency method.The late engineering validation confirmed that the elements anomaly distribution acquired by the FastICA algorithm highly matches with the actual ore body (mineralization).So，the FastICA algorithm has the function of restoring the real information and has the significance in guiding the next prospecting work.It is effective to process the geochemical data by applying the FastICA algorithm.

Key words: FastICA, Anomaly detection, Cumulative frequency, Geochemical anomaly