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» Partitioning multi-dimensional sets in a small number of
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VLDB
2008
ACM
147views Database» more  VLDB 2008»
14 years 7 months ago
Tree-based partition querying: a methodology for computing medoids in large spatial datasets
Besides traditional domains (e.g., resource allocation, data mining applications), algorithms for medoid computation and related problems will play an important role in numerous e...
Kyriakos Mouratidis, Dimitris Papadias, Spiros Pap...
SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
14 years 4 months ago
Parallel Pairwise Clustering.
Given the pairwise affinity relations associated with a set of data items, the goal of a clustering algorithm is to automatically partition the data into a small number of homogen...
Elad Yom-Tov, Noam Slonim
ICCD
2002
IEEE
97views Hardware» more  ICCD 2002»
14 years 15 days ago
Fault Dictionary Size Reduction through Test Response Superposition
The exceedingly large size of fault dictionaries constitutes a fundamental obstacle to their usage. We outline a new method to reduce significantly the size of fault dictionaries...
Baris Arslan, Alex Orailoglu
ALGORITHMICA
2002
93views more  ALGORITHMICA 2002»
13 years 7 months ago
Improved Algorithms for Uniform Partitions of Points
We consider the following one- and two-dimensional bucketing problems: Given a set S of n points in R1 or R2 and a positive integer b, distribute the points of S into b equal-size ...
Pankaj K. Agarwal, Binay K. Bhattacharya, Sandeep ...
ICDT
2001
ACM
147views Database» more  ICDT 2001»
13 years 12 months ago
Parallelizing the Data Cube
This paper presents a general methodology for the efficient parallelization of existing data cube construction algorithms. We describe two different partitioning strategies, one f...
Frank K. H. A. Dehne, Todd Eavis, Susanne E. Hambr...