DBSCAN的翻译

In order to improve the training efficiency, an advanced Fuzzy Support Vector Machine ( FSVM) algorithm based on the density clustering ( DBSCAN) is proposed.

为了提高模糊支持向量机在数据集上的训练效率，提出一种改进的基于密度聚类（DBSCAN）的模糊支持向量机算法。

Experimental results show this algorithm is equal to DBSCAN, and can solve the increment clustering problem when the batch data is updated effectively.

实验结果表明，该算法与DBSCAN是等价的，能更有效地解决批量数据更新时的增量聚类问题。

According to the data from an experiment mentioned in this paper, the self-adapting algorithm is feasible and involves better performance than DBSCAN.

实验结果表明，该算法能自适应地进行文本聚类，且与DBSCAN相比，准确率较高。