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» Techniques of Cluster Algorithms in Data Mining
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BIOINFORMATICS
2006
89views more  BIOINFORMATICS 2006»
15 years 6 months ago
Maximum significance clustering of oligonucleotide microarrays
Affymetrix high-density oligonucleotide microarrays measure expression of DNA transcripts using probesets, i.e. multiple probes per transcript. Usually, these multiple measurement...
Dick de Ridder, Frank J. T. Staal, Jacques J. M. v...
PERVASIVE
2011
Springer
14 years 9 months ago
Identifying Important Places in People's Lives from Cellular Network Data
People spend most of their time at a few key locations, such as home and work. Being able to identify how the movements of people cluster around these “important places” is cru...
Sibren Isaacman, Richard Becker, Ramón C&aa...
CLUSTER
2005
IEEE
16 years 1 days ago
Efficient and Robust Computation of Resource Clusters in the Internet
Applications such as parallel computing, online games, and content distribution networks need to run on a set of resources with particular network connection characteristics to ge...
Chuang Liu, Ian T. Foster
EOR
2007
133views more  EOR 2007»
15 years 6 months ago
Using genetic algorithm for dynamic and multiple criteria web-site optimizations
In today’s competitive electronic marketplace, companies try to create long-lasting relations with their online customers. Log files and registration forms generate millions of...
Arben Asllani, Alireza Lari
SAC
2011
ACM
15 years 1 months ago
A quasi-Newton acceleration for high-dimensional optimization algorithms
Abstract In many statistical problems, maximum likelihood estimation by an EM or MM algorithm suffers from excruciatingly slow convergence. This tendency limits the application of ...
Hua Zhou, David Alexander, Kenneth Lange