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1)  regular cluster region
规则聚类区域
2)  clustering rule
聚类规则
1.
The application of artificial immune system on classification rule and clustering rule is mainly explained.
主要阐述人工免疫系统在分类规则、聚类规则等中的应用现状,并对其方法进行详细分析并指出其优缺点。
3)  region clustering
区域聚类
1.
The basic idea of this method is region clustering that groups the search regions of individual range queries into larger regions and retrieves the tuples from larger regions.
针对关系数据库及其应用中多个区域查询的并发处理,提出了一种区域聚类的方法,其基本思路是将多个查询中相近的区域分成若干组,每组构成较大的区域,从较大的区域中检索元组。
2.
The basic idea of this method is region clustering that groups the search regions of past queries into larger regions and retrieves the tuples from the larger regions.
选择并保存一些处理后的查询,将其进行区域聚类,构成较大的区域并检索和保存其元组。
4)  Areas clustering
区域聚类
1.
Water areas are extracted via synchronously adopting threshold segmentation method and areas clustering method in texture map.
采用了基于知识驱动型的桥梁识别定位方法,即通过阈值分割和纹理图区域聚类相结合提取水域,然后运用统计技术求取桥梁宽度,并在此基础上进行桥梁的识别与定位。
5)  clustering region
聚类区域
1.
Focusing on the distributing characteristics of high dimension large dataset,clustering regions were found out by using the way based on grid techniques,moreover,those clustering dataset unable to turn into outliers in clustering region were deleted.
该算法针对高维大数据集的分布特性,首先采用基于网格技术的方法寻找出聚类区域,并删除聚类区域内不可能成为离群点的聚类点集,然后运用局部离群因子(LOF)算法对剩下的点集进行离群点挖掘。
6)  irregular region
不规则区域
1.
Summarization of image coding based on irregular region;
不规则区域图像编码综述
2.
Based on the algorithm of Delaunay Triangulated Irregular Network,an improved algorithm to use isoline making in an irregular region with data of arbitrary point is put forward.
以基于Delaunay不规则三角网络的算法为基础,提出一种在不规则区域内,使用离散点数据生成等值线的改进算法。
3.
According to the problem of content-based image retrieval,a similar extension fractal coding arithmetic by construct-ing irregular region is presented.
针对目前基于形状的图像检索领域中存在的问题,首先提出了一种通过构造不规则区域的相似膨胀分形编码算法,该算法能获得较高的压缩比。
补充资料:不规则聚沉
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性质: 某些电解质在加入量少时可使溶胶聚沉,电解质浓度高时沉淀又重新分散形成溶胶,如果电解质浓度再高,溶胶会再次聚沉,这一现象称为不规则聚沉。发生不规则聚沉的电解质多为大分子电解质或高价离子,它们能在带相反电荷的胶体粒子表面上强烈吸附,中和表面电荷使胶体聚沉,随后又靠范德华引力吸附在粒子表面上

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