粗糙谱聚类在文本挖掘中的应用

The Application of Rough Spectral Clustering on Text Data Mining

谱聚类算法利用特征向量构造简化的数据空间，在降低数据维数的同时，使得数据在子空间中的分布结构更加明显。该文提出了一种粗糙谱聚类算法，并将其应用于文本数据挖掘。实验表明，该算法与现有的文本聚类算法相比，准确率有一定的提高。

The spectral clustering algorithm constructs a simplified data space making the use of the eigenvectors that not only reduces the dimension of data but also gives clearer distribution of data in＇the subspace. This paper proposes a rough spectral clustering algorithm and apply the algorithm on text data mining. Experiment results indicate that the proposed algorithm outperforms the existing text clustering algorithms in accuracy.