Informix also remains ahead in areas such as clustering, data replication and grid-based computing.
Informix还在集群化、数据复制和基于网格的计算方面领先一步。
This paper aims at outlier mining, and proposes an algorithm of outlier mining called AOMGC based on grid clustering techniques, with the existing algorithm of LOF.
针对离群点的挖掘，在现有的LOF算法的基础上，提出了一种基于网格聚类技术的离群点挖掘算法AOMGC。
A new grid clustering method based on the random sampling is proposed in the dissertation.
提出一种新的基于随机抽样的网格聚类算法。
This paper presents a grid - based clustering algorithm for multi - density (GDD).
提出了一种多密度网格聚类算法gdd。
This paper introduced a density grid-based data stream clustering algorithm.
提出了一种基于密度网格的数据流聚类算法。
A fast clustering algorithm with adaptive density based on homogeneous grid is proposed.
提出了一种基于均匀网格的自适应密度快速聚类新算法。
After discussing the concepts, techniques and algorithms about clustering, a grid and density based cluster algorithm was proposed.
讨论数据挖掘中聚类的相关概念、技术和算法。
By introducing a new grid-based data compression framework, conducted the study on the clustering algorithm SGRIDS which dealed with a large spatial databases.
引入了一种新的基于网格的数据压缩方法，并应用该方法对处理大型空间数据集的聚类算法SGR IDS进行研究。
Therefore, not only the high efficiency of the grid-based algorithm was utilized, but also the clustering accuracy w...
从而既利用了基于网格算法的高效率，还较大程度地提高了聚类精度。
Therefore, not only the high efficiency of the grid-based algorithm was utilized, but also the clustering accuracy was raised significantly.
从而既利用了基于网格算法的高效率，还较大程度地提高了聚类精度。
The paper mainly discusses a clustering algorithm based on density and grid in data mining, which has high clustering efficiency and low time complexity.
该文主要讨论数据挖掘中一种基于密度和网格的聚类分析算法及其在客户关系管理中的应用。
To overcome the shortcomings of the GCOD, a high-dimensional clustering algorithm for data mining, the paper proposes an intersected grid clustering algorithm based on density estimation (IGCOD).
针对高维聚类算法——相交网格划分算法GCOD存在的缺陷，提出了基于密度度量的相交网格划分聚类算法IGCOD。
To overcome the shortcomings of the GCOD, a high-dimensional clustering algorithm for data mining, the paper proposes an intersected grid clustering algorithm based on density estimation (IGCOD).
针对高维聚类算法——相交网格划分算法GCOD存在的缺陷，提出了基于密度度量的相交网格划分聚类算法IGCOD。
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