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SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
14 years 11 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
ICDE
2007
IEEE
185views Database» more  ICDE 2007»
15 years 11 months ago
On k-Nearest Neighbor Searching in Non-Ordered Discrete Data Spaces
A k-nearest neighbor (k-NN) query retrieves k objects from a database that are considered to be the closest to a given query point. Numerous techniques have been proposed in the p...
Dashiell Kolbe, Qiang Zhu, Sakti Pramanik
BTW
2007
Springer
183views Database» more  BTW 2007»
15 years 1 months ago
Efficient Reverse k-Nearest Neighbor Estimation
: The reverse k-nearest neighbor (RkNN) problem, i.e. finding all objects in a data set the k-nearest neighbors of which include a specified query object, has received increasing a...
Elke Achtert, Christian Böhm, Peer Kröge...
92
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ACCV
2007
Springer
15 years 1 months ago
Efficient Search in Document Image Collections
This paper presents an efficient indexing and retrieval scheme for searching in document image databases. In many non-European languages, optical character recognizers are not very...
Anand Kumar 0002, C. V. Jawahar, R. Manmatha
EDBT
2006
ACM
159views Database» more  EDBT 2006»
15 years 9 months ago
Fast Nearest Neighbor Search on Road Networks
Nearest neighbor (NN) queries have been extended from Euclidean spaces to road networks. Existing approaches are either based on Dijkstra-like network expansion or NN/distance prec...
Haibo Hu, Dik Lun Lee, Jianliang Xu