Multi-type K nearest neighbor queries in road networks
Dandan Wang, Hao Zhong-xiao
Abstract
Dandan Wang, Hao Zhong-xiao
Abstract
Multi-type nearest neighbor queries of spatial database has received more and more attention gradually,there are many researches of the K nearest neighbor queries,but the research on the multi-type K nearest neighbor queries are still blank.Aiming at the Multi-Type K Nearest Neighbor queries (MT-KNN) problem,combining the theory of multi-type nearest neighbor queries and K nearest neighbor query,a multi-type K nearest neighbor queries algorithm is put forward.A hierarchical encoded path view is extended,a multi-path hierarchical encoded view is established.By gradual growing the current partial path,the algorithm implements the multi-type K nearest neighbor queries.Experimental results show that the algorithm has better performance.
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Multi-type nearest neighbor queries of spatial database has received more and more attention gradually,there are many researches of the K nearest neighbor queries,but the research on the multi-type K nearest neighbor queries are still blank.Aiming at the Multi-Type K Nearest Neighbor queries (MT-KNN) problem,combining the theory of multi-type nearest neighbor queries and K nearest neighbor query,a multi-type K nearest neighbor queries algorithm is put forward.A hierarchical encoded path view is extended,a multi-path hierarchical encoded view is established.By gradual growing the current partial path,the algorithm implements the multi-type K nearest neighbor queries.Experimental results show that the algorithm has better performance.
Key concepts: Best bin first, k-nearest neighbors algorithm, Nearest-neighbor chain algorithm, Nearest neighbor graph, Cover tree, Nearest neighbor search, Fixed-radius near neighbors, Large margin nearest neighbor