Title :
Assessing the Significance of Groups in High-Dimensional Data
Author :
McLachlan, Geoff
Author_Institution :
Dept. of Math., Univ. of Queensland, Brisbane, QLD, Australia
Keywords :
bioinformatics; data mining; pattern classification; sampling methods; bioinformatics literature; bootstrap sample; cluster analytic procedure; data mining; error rate estimation; factor analytic model; high dimensional data; labelled training data; null hypothesis; optimistic assessment; resampling approach; supervised classification;
Conference_Titel :
Data Mining (ICDM), 2010 IEEE 10th International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-9131-5
Electronic_ISBN :
1550-4786
DOI :
10.1109/ICDM.2010.171
