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📄 srtree.desc

📁 基于内容的多媒体数据检索算法SR-Tree
💻 DESC
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======================SR-tree  (version 1.0)======================A.  File Description====================srtree.desc		-- This README filesrtree.h		-- Head file for both srtree_build.c and srtree_search.csrtree_build.c		-- SR-tree building partsrtree_search.c		-- SR-tree searching part: support both kNN and range searchMakefile		-- Makefile to compile the build and search programsB. Compilation==============Type:   make  srtree_buildType:   make  srtree_searchNote:  Please compile it under Solaris platform.C. Execution============Try the following example:Type:    srtree_build  <config file>	You can also type "srtree_build" for more details about the usage.Type:    srtree_search <config file> <k: for kNN search> <#query>	You can also type "srtree_search" for more details about the usage.D.  Data File Format====================Each line of data file store a single vector for an object (point).Each line consists of the coordinate of the point in each dimension.E.  Config. File Format=======================Content of config. file:Line 1:  Minimum branching factor, m.Line 2:  Miximum branching factor, M.Line 3:  Dimension.Line 4:  Reinsert factor.Line 5:  Number of points.Line 6:  Path of data file.Line 7:  Path of query file storing a number of query points.F.  Execute Sample===================Type:   srtree_build  configSampleType:   srtree_search configSample 5  1G.  Reference=============Title:       The SR-tree: An Index Structure for High-Dimensional Nearest Neighbor QueriesAuthor:      Katayama, N. and Satoh, S.Conference:  ACM SIGMOD, 1997Title:       Similarity Indexing with the SS-treeAuthor:      White, David A. and Jain, RameshConference:  ICDE, 1996Title:       The R*-tree: an efficient and robust access method for points and rectanglesAuthor:      Beckmann, N. and Kriegel, H.P. and Schneider, R. and Seeger, B.Conference:  ACM SIGMOD, 1990

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