本文提出的基于等价类法的形式背景同构判定算法，有效地提高了同构判定的效率。

This paper suggests an isomorphism detecting algorithm based on equivalent class, which improves the efficiency of context isomorphism detection.

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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。

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

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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。

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

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