Abstract: The data dimension reduction is the main method that can enhance the outliers mining efficiency based on higher-dimension data set. A novel clustering with outlier algorithm that is a combination of the kernel method and PP principal component is proposed

Key words: Kernel method, Proi ection pur suit, Principal component, Fuzzy clustering, Outliers