result; (1)特征提取与选择:从原始数据集中提取并选择最具代表性的特征; (2)聚类算法设计:根据问题的特点设计聚类算法; (3)结果评估:评估聚类结果,判断算法的有效性; (4)结果说明:对聚类结果...grid-basedclusteringalgorithms and thedensity-basedclusteringalgorithms. 这种聚类算法的基本思想是将原始数据空间更改...
Clustering is the one of the most important task of the data mining. Clustering is the unsupervised method to find the relations between points of dataset into several groups. It can be done by using various types of techniques like partitioned, hierarchical, density, and grid. Each of these...
International Journal of Data Mining Modelling & ManagementRenxia Wan, Jingchao Chen, Lixin Wang, and Xiaoke Su. Grid-based clustering over an evolving data stream. International Journal of Data Mining, Modelling and Management, 1(4):393-410, 2009....
In this research paper, we present some of the grid based methods such as CLIQUE (CLustering In QUEst) [2], STING (STatistical INformation Grid) [3], MAFIA (Merging of Adaptive Intervals Approach to Spatial Data Mining) [4], Wave Cluster [5]and O-CLUSTER (Orthogonal partitioning CLUSTERing...
grid-based clusteringhigh dimensional data streamsClustering is an important task in mining the evolving data streams. A lot of data streams are high dimensional in nature. Clustering in the high dimensional data space is a complex problem, which is inherently more complex for data streams. Most ...
A Grid-based Subspace Clustering Algorithm for High-dimensional Data Streams一种基于网格方法的高维数据流子空间聚类算法 Based on the analysis of grid-based clustering algorithms, we propose a subspace clustering algorithm that can find clusters in different subspaces for hig... SUN YuFen,LU YanSheng...
A grid-based data clustering method is disclosed. A parameter setting step sets a grid parameter and a threshold parameter. A diving step divides a space having a plurality of data points according to
Grid-based clustering is particularly appropriate to deal with massive datasets. The principle is to first summarize the dataset with a grid representation, and then to merge grid cells in order to obtain clusters. All previous methods use grids with...
Grid based clustering; Density based clustering; DBSCAN; GRIDEN; Data mining; Massive spatial data; Parallel computing; 机译:基于网格的聚类;基于密度的聚类;DBSCAN;GRIDEN;数据挖掘;大空间数据;并行计算; 相似文献 外文文献 中文文献 专利 1. K-DBSCAN: an efficient density-based clustering algorithm...
And, the GUI-based OpenAdmin Tool for Informix database server provides a global view of remote servers, with flexible analysis and drill down to the query level. In this IBM Redbooks® publication, we focus on, and provide an overview of the high availability and enterprise replication ...