CKDB-Tree:Effective index structure in high-dimensional data spaces
Wang Shu-e
Abstract
Wang Shu-e
Abstract
An effective index structure is proposed for high-dimensional data spaces:CKDB-Tree(Compact KDB-Tree).The index structure uses one kind of new partitioning strategy.During the insert processing,this paper introduces the safe-inserted-node and safe-deleted node concept into the structure,which is not only considering the current node,but also considering the future node. This paper gives the definition of the CKDB-Tree and the character of the node;it also gives the algorithm of the insert,the search and the delete operation;then gives the analysis and the inference to the index structure’s memory property;finally,the experiment proves that CKDB-Tree is one kind of effective dynamic index structure in the high-dimensional spaces.
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An effective index structure is proposed for high-dimensional data spaces:CKDB-Tree(Compact KDB-Tree).The index structure uses one kind of new partitioning strategy.During the insert processing,this paper introduces the safe-inserted-node and safe-deleted node concept into the structure,which is not only considering the current node,but also considering the future node. This paper gives the definition of the CKDB-Tree and the character of the node;it also gives the algorithm of the insert,the search and the delete operation;then gives the analysis and the inference to the index structure’s memory property;finally,the experiment proves that CKDB-Tree is one kind of effective dynamic index structure in the high-dimensional spaces.
Key concepts: Node (physics), Computer science, Tree structure, Tree (set theory), Data structure, Index (typography), B-tree, Inference