Clustering Algorithm of Mixed Attribute Big Data Based on Sliding Window
The article studies a mixed attribute big data clustering algorithm based on sliding windows,which effectively improves the accuracy and efficiency of clustering by introducing sliding window design and similarity calculation methods.The experimental results show that the algorithm outperforms traditional methods in relevant evaluation metrics,especially in processing large-scale high-dimensional data.In future work,we will continue to conduct in-depth research on the design and parameter selection of sliding windows to further optimize the performance of the algorithm.
万方数据
维普
