Research on Similarity Search for High-dimensional Data Objects Based on DHT
In order to achieve the access of massive high-dimensional data on P2P networks efficiently,we proposed an indexing method: PLCID(modified iDistance based on Proximity Location Code),which greatly narrows searching scope and reduces the times of distance calculations between high-dimensional data.So it greatly improves the performance of data searching.With the indexing structure mentioned above,we achieved a high-dimensional data retrieving system on a structure P2P networks.Experiments showed that compared with the original iDistance indexing method,our technique got some improvements in terms of time performance and system overhead.