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Metric all-k-nearest-neighbor search
2016 IEEE 32nd International Conference on Data Engineering (ICDE), 2016An all-k-nearest-neighbor (A k NN) query finds from a given object set O , k nearest neighbors for each object in a specified query set Q . This operation is common in many applications such as GIS, data mining, and image analysis. Although it has received much attention in the Euclidean space, there is little prior work on the metric space .
Lu Chen +3 more
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Fast Approximate Nearest Neighbor Search via k-Diverse Nearest Neighbor Graph
Proceedings of the AAAI Conference on Artificial Intelligence, 2018Approximate nearest neighbor search is a fundamental problem and has been studied for a few decades. Recently graph-based indexing methods have demonstrated their great efficiency, whose main idea is to construct neighborhood graph offline and perform a greedy search starting from some sampled points of the graph online.
Yan Xiao +4 more
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Social Influence-Aware Reverse Nearest Neighbor Search
ACM Transactions on Spatial Algorithms and Systems, 2014Business-location planning, critical to the success of many businesses, can be addressed by the reverse nearest neighbors (RNN) query using geographical proximity to the customers as the main metric to find a store location close to many customers. Nevertheless, we argue that other marketing factors, such as social influence, could be considered in the
null Hui-Ju Hung +2 more
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Randomized Partition Trees for Nearest Neighbor Search
Algorithmica, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dasgupta, Sanjoy, Sinha, Kaushik
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Plant root exudates and rhizosphere bacterial communities shift with neighbor context
Soil Biology and Biochemistry, 2022Tayler C Ulbrich +2 more
exaly
A new two-layer nearest neighbor selection method for kNN classifier
Knowledge-Based Systems, 2022Zhibin Pan
exaly
Nearest Neighbor Classification and Search
2020Sanjoy Dasgupta, Samory Kpotufe
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Energy-Efficient Neighbor Discovery in Mobile Ad Hoc and Wireless Sensor Networks: A Survey
IEEE Communications Surveys and Tutorials, 2014Chaofan Yang, Xinglin Zhang
exaly

