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Study and Realization of Spatial Data Clustering Analysis System Based on SADBS

Author: LiuGuoJian
Tutor: QinXiaoZuo
School: Nanjing University of Aeronautics and Astronautics
Course: Applied Computer Technology
Keywords: Spatial analysis database Realms R-tree index Spatial data clustering Space constrained data clustering DBSCAN Delaunay Triangulation
CLC: TP311.13
Type: Master's thesis
Year: 2005
Downloads: 102
Quote: 1
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Abstract


Spatial analysis using the Realms as a database system SADBS representation of spatial data base , which uses discrete coordinate system to solve the problem of spatial database topology errors ; using multiple indexed data organization method , the effective storage and management of spatial data ; introduction of planar scanning algorithm to improve the performance of spatial analysis operations . Spatial analysis database system with powerful analysis functions topological relations , but there is no space measurement , orientation and other relations analysis, thus limiting the spatial analysis of database applications . This paper extends the SADBS system so that it can support data mining clustering analysis . In this paper, spatial data mining clustering analysis carried out analysis and research, based SADBS spatial object data structure and indexing structure proposed algorithm based on density RTDBSCAN , triangulation also analyzed the spatial data clustering and applying triangulation presents a constraint for spatial data clustering algorithm DHCA . In this paper, using the index structure of spatial objects has been improved , the use of R- tree index to replace the simple array index SADBS can better support relevant clustering algorithm ; explores the SADBS system provides operational support for cluster analysis possibilities and try to provide the best clustering analysis underlying operating support ; based SADBS, commonly used for spatial clustering algorithm, summarized a series of spatial clustering operation and to achieve the basic function of these functions , design and implementation of space data clustering Analysis System (SDCAS), thus opening up SADBS application , and gives application examples. Finally, this paper SDCAS inadequacies made ??further research ideas and methods.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
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