Improved Dynamic Clustering Algorithm 改进的动态聚类算法
Adaptive dynamic clustering algorithm 动态自适应聚类算法
The dynamic clustering algorithm is developed to update the clusters.
最后针对数据库的更新设计了动态聚类算法。
Proposed dynamic clustering algorithm has strong robustness in clustering of time series multi-dimensional data.
本文算法对于时序数据的聚类具有较强的鲁棒性。
A dynamic clustering algorithm was proposed based on consistent matrix of dependent function for time series multi-dimensional data.
根据时序立体数据的特点，提出了基于关联函数一致性矩阵的动态聚类算法。
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