nonparametric clustering algorithmgrid data structureremote sensing dataA fast nonparametric algorithm of automatic classification for multispectral aerospace images segmentation is suggested. The algorithm is based on a formation of a cell-like data structure in the space of spectral features, which is ...
The grid-based technique is used for a multi-dimensional dataset. In this technique, we create a grid structure, and the comparison is performed on grids(also know as cells). The grid-based technique is fast and has low computational complexity.--wiki 基于网格的技术用于多维数据集。在这种技术...
grid-based clustering algorithmmerging stepsboundary gridsarbitrary shaped clustersClustering on data stream has a great challenge because it has to be implemented within a limited space and a strict time constraint and the data stream may be potentially infinite. Fortunately, many clustering algorithms ...
Advanced satellite tracking technologies provide biologists with long-term location sequence data to understand movement of wild birds then to find explicit correlation between dynamics of migratory birds and the spread of avian influenza. In this paper, we propose a hierarchical clustering algorithm base...
We also present some of the latest developments in Grid Based methods such as Axis Shifted Grid Clustering Algorithm [7] and Adaptive Mesh Refinement [Wei-Keng Liao etc] [8] to improve the processing time of objects.ILANGO MRDr V MOHAN...
Jannu, Srikanth, and Prasanta K. Jana. "A grid based clustering and routing algorithm for solving hot spot problem in wireless sensor networks." Wireless Networks 22.6 (2016): 1901-1916.Jannu, Srikanth, and Prasanta K. Jana. "A Grid Based Clustering and Routing Algorithm for Solving Hot ...
In order to solve this problem we proposed an adaptive grid -based clustering method. Our focus is on providing up-to-date arbitrary shaped clusters along with improving the processing time and bounding the amount of the memory u sage. In our method (B+C tree), a structure called "B+...
格状为基础的分群法(grid-based clustering):处理时间与资料多寡无关,而是取决於格的数量 ex:sting,qlique,waveclustermodel-ba… systw.net|基于2个网页 3. 基础分群法 基础分群法(Grid-based Clustering)。切割式分群法主要是将资料分为K 群的演算 ...
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 hyper-rectangular cells. In this paper we prop...