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» Cluster Analysis of High-Dimensional Data: A Case Study
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MSS
2010
IEEE
120views Hardware» more  MSS 2010»
13 years 6 months ago
A critique of distributional analysis in the spatial model
Distributional analysis is widely used to study social choice in Euclidean models [35, 36, 1, 5, 11, 19, 8, 2, e.g]. This method assumes a continuum of voters distributed accordin...
Craig A. Tovey
CIBCB
2007
IEEE
13 years 11 months ago
Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
Abstract-- The advance of high-throughput experimental technologies poses continuous challenges to computational data analysis in functional and comparative genomics studies. Gene ...
Ji He, Xinbin Dai, Xuechun Zhao
ICDM
2008
IEEE
109views Data Mining» more  ICDM 2008»
14 years 2 months ago
Quantitative Association Analysis Using Tree Hierarchies
Association analysis arises in many important applications such as bioinformatics and business intelligence. Given a large collection of measurements over a set of samples, associ...
Feng Pan, Lynda Yang, Leonard McMillan, Fernando P...
HCI
2009
13 years 5 months ago
Tonic Changes in EEG Power Spectra during Simulated Driving
Electroencephalographic (EEG) correlates of driving performance were studied using an event-related lane-departure paradigm. High-density EEG data were analyzed using independent c...
Ruey-Song Huang, Tzyy-Ping Jung, Scott Makeig
BMCBI
2007
105views more  BMCBI 2007»
13 years 8 months ago
Text-derived concept profiles support assessment of DNA microarray data for acute myeloid leukemia and for androgen receptor sti
Background: High-throughput experiments, such as with DNA microarrays, typically result in hundreds of genes potentially relevant to the process under study, rendering the interpr...
Rob Jelier, Guido Jenster, Lambert C. J. Dorssers,...