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。
We design and implement the artificial immune network algorithm, and successfully apply this algorithm in solving a pattern recognition problem and a data clustering problem.
在此基础上，设计和实现了人工免疫网络算法，并应用该算法成功解决了一个模式识别和数据聚类问题。
For the complicated environment of rock burst, this clustering problem is a very complicated fuzzy and random optimization problem, and can not be solved by use of the traditional methods very well.
但由于岩爆问题环境的复杂性，岩爆预测的聚类问题是一个复杂的模糊、随机优化问题，采用传统方法难免带来很多局限性。
For the complicated environment of rock burst, this clustering problem is a very complicated fuzzy and random optimization problem, and can not be solved by use of the traditional methods very well.
但由于岩爆问题环境的复杂性，岩爆预测的聚类问题是一个复杂的模糊、随机优化问题，采用传统方法难免带来很多局限性。
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