Approach of outlier mining based on high dimension sparse clustering

2011 ◽  
Author(s):  
Chen Baoguo
Keyword(s):  
High Dimension ◽  
Outlier Mining ◽  
Sparse Clustering

scholarly journals A hybrid Feature Selection Optimization Model for High Dimension Data Classification

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Mohammed Qaraad ◽  
Souad Amjad ◽  
Ibrahim I.M. Manhrawy ◽  
Hanaa Fathi ◽  
Bayoumi A. Hassan ◽  
...  
Keyword(s):  
Feature Selection ◽  
High Dimension ◽  
Optimization Model ◽  
Data Classification ◽  
High Dimension Data

Feature grouping-based parallel outlier mining of categorical data using spark

2019 ◽  
Vol 504 ◽  
pp. 1-19
Author(s):  
Junli Li ◽  
Jifu Zhang ◽  
Xiao Qin ◽  
Yaling Xun
Keyword(s):  
Categorical Data ◽  
Outlier Mining ◽  
Feature Grouping

scholarly journals Testing covariates in high dimension linear regression with latent factors

2016 ◽  
Vol 144 ◽  
pp. 25-37 ◽  
Author(s):  
Wei Lan ◽  
Yue Ding ◽  
Zheng Fang ◽  
Kuangnan Fang
Keyword(s):  
Linear Regression ◽  
High Dimension ◽  
Latent Factors

Flutter of high-dimension nonlinear system for a FGM truncated conical shell

2017 ◽  
Vol 25 (1) ◽  
pp. 47-61 ◽  
Author(s):  
Y. X. Hao ◽  
S. W. Yang ◽  
W. Zhang ◽  
M. H. Yao ◽  
A. W. Wang
Keyword(s):  
Nonlinear System ◽  
High Dimension ◽  
Conical Shell ◽  
Truncated Conical Shell
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