Related references
Note: Only part of the references are listed.Comparison of variable selection methods in partial least squares regression
Tahir Mehmood et al.
JOURNAL OF CHEMOMETRICS (2020)
Analytical review of clustering techniques and proximity measures
Vivek Mehta et al.
ARTIFICIAL INTELLIGENCE REVIEW (2020)
Penalized Partial Least Square applied to structured data
Camilo Broc et al.
ARABIAN JOURNAL OF MATHEMATICS (2020)
High-Dimensional LASSO-Based Computational Regression Models: Regularization, Shrinkage, and Selection
Frank Emmert-Streib et al.
MACHINE LEARNING AND KNOWLEDGE EXTRACTION (2019)
The principal problem with principal components regression
Heidi Artigue et al.
COGENT MATHEMATICS & STATISTICS (2019)
Variable selection - A review and recommendations for the practicing statistician
Georg Heinze et al.
BIOMETRICAL JOURNAL (2018)
K-means properties on six clustering benchmark datasets
Pasi Franti et al.
APPLIED INTELLIGENCE (2018)
A Review on Variable Selection in Regression Analysis
Loann David Denis Desboulets
ECONOMETRICS (2018)
Five myths about variable selection
Georg Heinze et al.
TRANSPLANT INTERNATIONAL (2017)
A non-linear data mining parameter selection algorithm for continuous variables
Peyman Tavallali et al.
PLOS ONE (2017)
Random Subspace Method for high-dimensional regression with the R package regRSM
Pawel Teisseyre et al.
COMPUTATIONAL STATISTICS (2016)
Comparison of subset selection methods in linear regression in the context of health-related quality of life and substance abuse in Russia
Olga Morozova et al.
BMC MEDICAL RESEARCH METHODOLOGY (2015)
Learning Interactions via Hierarchical Group-Lasso Regularization
Michael Lim et al.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2015)
A selective overview of feature screening for ultrahigh-dimensional data
Liu JingYuan et al.
SCIENCE CHINA-MATHEMATICS (2015)
Knowledge Driven Variable Selection (KDVS) a new approach to enrichment analysis of gene signatures obtained from high-throughput data
Grzegorz Zycinski et al.
SOURCE CODE FOR BIOLOGY AND MEDICINE (2013)
DNA Methylation Signatures in Development and Aging of the Human Prefrontal Cortex
Shusuke Numata et al.
AMERICAN JOURNAL OF HUMAN GENETICS (2012)
RANDOM LASSO
Sijian Wang et al.
ANNALS OF APPLIED STATISTICS (2011)
Regularization Paths for Generalized Linear Models via Coordinate Descent
Jerome Friedman et al.
JOURNAL OF STATISTICAL SOFTWARE (2010)
Variable selection: current practice in epidemiological studies
Stefan Walter et al.
EUROPEAN JOURNAL OF EPIDEMIOLOGY (2009)
The adaptive lasso and its oracle properties
Hui Zou
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2006)
K-means clustering:: A half-century synthesis
Douglas Steinley
BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY (2006)
Share Paper
