针对高维稀疏数据预处理过程,提出了运用两阶段协同聚类算法(MTSCCA)来获得质量较好的高维稀疏对象一属性的子空间,并通过实证研究证明了算法的有效性.
In the preprocessing of high dimensional sparse data, this paper puts forward a modified two stage Collaborative Clustering algorithm(MTSCCA) to produce better quality subspace of high-dimensional sparse object - attribute, and the experimental studies demonstrate that the effectiveness of the proposed algorithm outperforms most existing clustering algorithms.