The properties of nonuniformity analysis of high dimensional data
A novel approach to outlier detection and clustering on the ground of the distribution of distances between multidimensional points is presented. The basic idea is to eval uate the outlier factor for each data point. A comparison with some popular outlier detection and clustering methods shows the...
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| Format: | Article |
| Language: | English |
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Vilnius University Press
2004-12-01
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| Series: | Lietuvos Matematikos Rinkinys |
| Subjects: | |
| Online Access: | https://www.journals.vu.lt/LMR/article/view/32223 |
| _version_ | 1797194433714716672 |
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| author | Vydūnas Šaltenis |
| author_facet | Vydūnas Šaltenis |
| author_sort | Vydūnas Šaltenis |
| collection | DOAJ |
| description |
A novel approach to outlier detection and clustering on the ground of the distribution of distances between multidimensional points is presented. The basic idea is to eval uate the outlier factor for each data point.
A comparison with some popular outlier detection and clustering methods shows the superiority of our approach.
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| first_indexed | 2024-03-07T15:41:11Z |
| format | Article |
| id | doaj.art-f77e5b310ec34e5996e4f742f67e14cf |
| institution | Directory Open Access Journal |
| issn | 0132-2818 2335-898X |
| language | English |
| last_indexed | 2024-04-24T05:56:13Z |
| publishDate | 2004-12-01 |
| publisher | Vilnius University Press |
| record_format | Article |
| series | Lietuvos Matematikos Rinkinys |
| spelling | doaj.art-f77e5b310ec34e5996e4f742f67e14cf2024-04-23T09:02:11ZengVilnius University PressLietuvos Matematikos Rinkinys0132-28182335-898X2004-12-0144spec.10.15388/LMR.2004.32223The properties of nonuniformity analysis of high dimensional dataVydūnas Šaltenis0Institute of Mathematics and Informatics A novel approach to outlier detection and clustering on the ground of the distribution of distances between multidimensional points is presented. The basic idea is to eval uate the outlier factor for each data point. A comparison with some popular outlier detection and clustering methods shows the superiority of our approach. https://www.journals.vu.lt/LMR/article/view/32223outlier detectionhigh-dimensional datadistribuion of distances |
| spellingShingle | Vydūnas Šaltenis The properties of nonuniformity analysis of high dimensional data Lietuvos Matematikos Rinkinys outlier detection high-dimensional data distribuion of distances |
| title | The properties of nonuniformity analysis of high dimensional data |
| title_full | The properties of nonuniformity analysis of high dimensional data |
| title_fullStr | The properties of nonuniformity analysis of high dimensional data |
| title_full_unstemmed | The properties of nonuniformity analysis of high dimensional data |
| title_short | The properties of nonuniformity analysis of high dimensional data |
| title_sort | properties of nonuniformity analysis of high dimensional data |
| topic | outlier detection high-dimensional data distribuion of distances |
| url | https://www.journals.vu.lt/LMR/article/view/32223 |
| work_keys_str_mv | AT vydunassaltenis thepropertiesofnonuniformityanalysisofhighdimensionaldata AT vydunassaltenis propertiesofnonuniformityanalysisofhighdimensionaldata |