Clustering Techniques for Out-of-Core Multi-resolution Modeling

TitleClustering Techniques for Out-of-Core Multi-resolution Modeling
Publication TypeConference Papers
Year of Publication2005
AuthorsDanovaro E, De Floriani L, Puppo E, Samet H
Conference NameVisualization Conference, IEEE
Date Published2005///
PublisherIEEE Computer Society
Conference LocationLos Alamitos, CA, USA
ISBN Number0-7803-9462-3

Thanks to improvements in simulation tools, high resolution scanning facilities and multidimensional medical imaging, huge datasets are commonly available. Multi-resolution models manage the complexity of such data sets, by varying resolution and focusing detail in specific areas of interests. Since many currently available data sets cannot fit in main memory, the need arises to design data structures, construction and query algorithms for multi-resolution models which work in secondary memory.