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» Approximation schemes for clustering problems
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BMCBI
2006
74views more  BMCBI 2006»
14 years 12 months ago
An unsupervised classification scheme for improving predictions of prokaryotic TIS
Background: Although it is not difficult for state-of-the-art gene finders to identify coding regions in prokaryotic genomes, exact prediction of the corresponding translation ini...
Maike Tech, Peter Meinicke
LCN
2008
IEEE
15 years 6 months ago
Optimal distance-based clustering for tag anti-collision in RFID systems
—Tag collisions can impose a major delay in Radio Frequency IDentification (RFID) systems. Such collisions are hard to overcome with passive tags due to their limited capabiliti...
Waleed Alsalih, Kashif Ali, Hossam S. Hassanein
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 9 days ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
16 years 1 days ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
86
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STOC
2006
ACM
112views Algorithms» more  STOC 2006»
16 years 6 days ago
A quasi-PTAS for unsplittable flow on line graphs
We study the Unsplittable Flow Problem (UFP) on a line graph, focusing on the long-standing open question of whether the problem is APX-hard. We describe a deterministic quasi-pol...
Nikhil Bansal, Amit Chakrabarti, Amir Epstein, Bar...