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...
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| Format: | Article |
| Language: | English |
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Vilnius University Press
2005-12-01
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| Series: | Lietuvos Matematikos Rinkinys |
| Subjects: | |
| Online Access: | https://www.journals.vu.lt/LMR/article/view/29330 |
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| _version_ | 1832593209054724096 |
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| author | Vydūnas Šaltenis |
| author_facet | Vydūnas Šaltenis |
| author_sort | Vydūnas Šaltenis |
| collection | DOAJ |
| description |
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 quality. The results demonstrate the possibilities to improve the performance of computation and the stability of the outlier detection algorithm.
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| format | Article |
| id | doaj-art-95fba0e3c48f4da49eba447ff9ec115d |
| institution | Kabale University |
| issn | 0132-2818 2335-898X |
| language | English |
| publishDate | 2005-12-01 |
| publisher | Vilnius University Press |
| record_format | Article |
| series | Lietuvos Matematikos Rinkinys |
| spelling | doaj-art-95fba0e3c48f4da49eba447ff9ec115d2025-01-20T18:15:36ZengVilnius University PressLietuvos Matematikos Rinkinys0132-28182335-898X2005-12-0145spec.10.15388/LMR.2005.29330Investigation of outlier detection algorithmVydūnas Šaltenis0Institute of Mathematics and Informatics 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 quality. The results demonstrate the possibilities to improve the performance of computation and the stability of the outlier detection algorithm. https://www.journals.vu.lt/LMR/article/view/29330outlier detectionhigh-dimensional datadistribution of distances |
| spellingShingle | Vydūnas Šaltenis Investigation of outlier detection algorithm Lietuvos Matematikos Rinkinys outlier detection high-dimensional data distribution of distances |
| title | Investigation of outlier detection algorithm |
| title_full | Investigation of outlier detection algorithm |
| title_fullStr | Investigation of outlier detection algorithm |
| title_full_unstemmed | Investigation of outlier detection algorithm |
| title_short | Investigation of outlier detection algorithm |
| title_sort | investigation of outlier detection algorithm |
| topic | outlier detection high-dimensional data distribution of distances |
| url | https://www.journals.vu.lt/LMR/article/view/29330 |
| work_keys_str_mv | AT vydunassaltenis investigationofoutlierdetectionalgorithm |