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» Complexity of O'Hara's Algorithm
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ICPP
2000
IEEE
15 years 9 months ago
A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Harsha S. Nagesh, Sanjay Goil, Alok N. Choudhary
COOPIS
2004
IEEE
15 years 8 months ago
A Framework for Prototyping J2EE Replication Algorithms
In application server systems, such as J2EE, replication is an essential strategy for reliability and efficiency. Many J2EE implementations, both commercial and open-source, provid...
Özalp Babaoglu, Alberto Bartoli, Vance Maveri...
BMCBI
2010
113views more  BMCBI 2010»
15 years 5 months ago
Efficient protein alignment algorithm for protein search
Background: Proteins show a great variety of 3D conformations, which can be used to infer their evolutionary relationship and to classify them into more general groups; therefore ...
Zaixin Lu, Zhiyu Zhao, Bin Fu
BMCBI
2006
108views more  BMCBI 2006»
15 years 5 months ago
Probe set algorithms: is there a rational best bet?
Affymetrix microarrays have become a standard experimental platform for studies of mRNA expression profiling. Their success is due, in part, to the multiple oligonucleotide featur...
Jinwook Seo, Eric P. Hoffman
JMM2
2006
212views more  JMM2 2006»
15 years 5 months ago
K-means Tracker: A General Algorithm for Tracking People
Abstract-- In this paper, we present a clustering-based tracking algorithm for tracking people (e.g. hand, head, eyeball, body, and lips). It is always a challenging task to track ...
Chunsheng Hua, Haiyuan Wu, Qian Chen, Toshikazu Wa...