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ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
14 years 26 days ago
Spectral Regression: A Unified Approach for Sparse Subspace Learning
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
Deng Cai, Xiaofei He, Jiawei Han
PR
2008
129views more  PR 2008»
13 years 9 months ago
A comparison of generalized linear discriminant analysis algorithms
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
Cheong Hee Park, Haesun Park
AUTOMATICA
2010
127views more  AUTOMATICA 2010»
13 years 7 months ago
Partitioning datasets based on equalities among parameters
When a phenomenon is described by a parametric model and multiple datasets are available, a key problem in statistics is to discover which datasets are characterized by the same p...
Riccardo Porreca, Giancarlo Ferrari-Trecate
KDD
2003
ACM
142views Data Mining» more  KDD 2003»
14 years 9 months ago
Frequent-subsequence-based prediction of outer membrane proteins
A number of medically important disease-causing bacteria (collectively called Gram-negative bacteria) are noted for the extra "outer" membrane that surrounds their cell....
Rong She, Fei Chen 0002, Ke Wang, Martin Ester, Je...
TCBB
2010
108views more  TCBB 2010»
13 years 3 months ago
Identification of Full and Partial Class Relevant Genes
Multiclass cancer classification on microarray data has provided the feasibility of cancer diagnosis across all of the common malignancies in parallel. Using multiclass cancer feat...
Zexuan Zhu, Yew-Soon Ong, Jacek M. Zurada