An Improved Outlier Detection Method in High-dimension Based on Weighted Hypergraph

2009 ◽  
Author(s):  
YinZhao Li ◽  
Di Wu ◽  
JiaDong Ren ◽  
ChangZhen Hu
Keyword(s):  
Outlier Detection ◽  
High Dimension ◽  
Detection Method ◽  
Weighted Hypergraph

scholarly journals A Review on Outliers-Detection Methods for Multivariate Data

2021 ◽  
Vol 3 (1) ◽  
pp. 1-15
Author(s):  
Sharifah Sakinah Syed Abd Mutalib ◽  
Siti Zanariah Satari ◽  
Wan Nur Syahidah Wan Yusoff
Keyword(s):  
Cluster Analysis ◽  
Multivariate Analysis ◽  
Outlier Detection ◽  
High Dimension ◽  
Detection Method ◽  
Multivariate Data ◽  
Projection Pursuit ◽  
Detection Methods ◽  
And Cluster Analysis ◽  
Detection Of Outliers

Data in practice are often of high dimension and multivariate in nature. Detection of outliers has been one of the problems in multivariate analysis. Detecting outliers in multivariate data is difficult and it is not sufficient by using only graphical inspection. In this paper, a nontechnical and brief outlier detection method for multivariate data which are projection pursuit method, methods based on robust distance and cluster analysis are reviewed. The strengths and weaknesses of each method are briefly discussed.

A new outlier detection method based on OPTICS

2019 ◽  
Vol 45 ◽  
pp. 197-212 ◽  
Author(s):  
Yue Fei Wang ◽  
Yu Jiong ◽  
Guo Ping Su ◽  
Yu Rong Qian
Keyword(s):  
Outlier Detection ◽  
Detection Method
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