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CORR
2010
Springer
81views Education» more  CORR 2010»
15 years 1 months ago
Analysis of Agglomerative Clustering
The diameter k-clustering problem is the problem of partitioning a finite subset of Rd into k subsets called clusters such that the maximum diameter of the clusters is minimized. ...
Marcel R. Ackermann, Johannes Blömer, Daniel ...
IS
2006
15 years 6 months ago
A methodology for clustering XML documents by structure
The processing and management of XML data are popular research issues. However, operations based on the structure of XML data have not received strong attention. These operations ...
Theodore Dalamagas, Tao Cheng, Klaas-Jan Winkel, T...
ICDE
2012
IEEE
343views Database» more  ICDE 2012»
13 years 8 months ago
Bi-level Locality Sensitive Hashing for k-Nearest Neighbor Computation
We present a new Bi-level LSH algorithm to perform approximate k-nearest neighbor search in high dimensional spaces. Our formulation is based on a two-level scheme. In the first ...
Jia Pan, Dinesh Manocha
CEE
2011
106views more  CEE 2011»
14 years 9 months ago
LLACA: An adaptive localized clustering algorithm for wireless ad hoc networks
  Performance  of  ad  hoc  networks  dramatically  declines  as  network  grows.  Cluster  formation  in  which  the  network  hosts  are  hierarchically  part...
Javad Akbari Torkestani, Mohammad Reza Meybodi
BMCBI
2004
96views more  BMCBI 2004»
15 years 6 months ago
A hybrid clustering approach to recognition of protein families in 114 microbial genomes
Background: Grouping proteins into sequence-based clusters is a fundamental step in many bioinformatic analyses (e.g., homology-based prediction of structure or function). Standar...
Timothy J. Harlow, J. Peter Gogarten, Mark A. Raga...