Aiming at the feature that traditional clustering algorithm can not deal with large-scale data

an incremental clustering algorithm based on cluster feature（ ICABCF） is presented combined with incremental algorithm and cluster feature idea

in the stage of initial clustering

with the help of K-means clustering algorithm based on distance

cluster feature is obtained. According to cluster feature and K-nearest neighbor（ KNN）algorithm is used to process increment. The proposed approach is validated with the help of real datasets presented in the UCI machine learning repository. The experimental results demonstrate that clustering precision of the proposed incremental clustering approach is improved significantly

compared with ordinary K-means and original incremental K-means algorithms.