Investigation of outlier detection algorithm
The proposed outlier factor was used to analyze the multidimensional data sets regarding outlier detection. The paper describes two kinds of investigation: the influence of omitting some part of distances between data points, and the influence of additional (noisy) points to outlier detection quali...
Saved in:
Main Author: | Vydūnas Šaltenis |
---|---|
Format: | Article |
Language: | English |
Published: |
Vilnius University Press
2005-12-01
|
Series: | Lietuvos Matematikos Rinkinys |
Subjects: | |
Online Access: | https://www.journals.vu.lt/LMR/article/view/29330 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The properties of nonuniformity analysis of high dimensional data
by: Vydūnas Šaltenis
Published: (2004-12-01) -
Fast Ways to Detect Outliers
by: Emad Obaid Merza, et al.
Published: (2021-03-01) -
High-dimensional outlier detection based on deep belief network and linear one-class SVM
by: Haoqi LI, et al.
Published: (2018-01-01) -
Outlier detection algorithm based on fast density peak clustering outlier factor
by: Zhongping ZHANG, et al.
Published: (2022-10-01) -
ERDOF: outlier detection algorithm based on entropy weight distance and relative density outlier factor
by: Zhongping ZHANG, et al.
Published: (2021-09-01)