New Clustering Algorithm for Sliding Window Model Data stream
The article introduces a new clustering similarity based on the constructive neural networks.The conceptions of average cover and over cover are defined to meet the need of sliding windows model data stream clustering,and then a clustering algorithm for sliding windows model data stream is present based on the constructive neural networks.It can be found that the calculation can be lessened and the speed of clustering can be faster with the use of this algorithm.The experimental results of large-scale communication datasets demonstrate its efficiency.