空间聚类研究 关键词：数据挖掘；空间聚类算法；数据库 [gap=969]Key words：data mining；spatial clustering algorithm；database
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density-based spatial clustering algorithm 基于密度的空间聚类算法
Image segmentation is essentially a classification process of all pixels of the image, therefore the application of the spatial clustering algorithm into image segmentation is very suitable.
图像分割从本质上来说是一个对图像上所有像素进行分类的过程,因此人们也常把空间聚类算法用来进行图像分割。
参考来源 - 核模糊聚类算法及其在图像分割中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
DBSCAN is a spatial clustering algorithm based on density.
DBSCAN是一个基于密度的聚类算法。
Experimental results show that the new algorithm has better performance than Density Based Spatial Clustering of Applications with Noise (DBSCAN).
实验结果表明，新算法较基于密度的带噪声数据应用的空间聚类方法(DBSCAN)具有更好的聚类性能。
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。
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