Measure of compactness for analyse dataset
The article dedicated to finding measure of compactness, and analyze dataset with using compactness. For finding measure of compactness, we search for hidden regularities from sociology database. In this way we need consider n-p full task and it will be 2n combinations. To solve this task, we use he...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/95/e3sconf_emmft2023_09002.pdf |
| _version_ | 1797345253785600000 |
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| author | Mukhammadiev Ravshan Mukhamadiev Abdivali |
| author_facet | Mukhammadiev Ravshan Mukhamadiev Abdivali |
| author_sort | Mukhammadiev Ravshan |
| collection | DOAJ |
| description | The article dedicated to finding measure of compactness, and analyze dataset with using compactness. For finding measure of compactness, we search for hidden regularities from sociology database. In this way we need consider n-p full task and it will be 2n combinations. To solve this task, we use heuristic way with using binary matrix. In the article we use invariant methods which find measure of compactness of dataset. Our survey were taken from korean, uzbek peoples and we obtained a result from this dataset. |
| first_indexed | 2024-03-08T11:14:58Z |
| format | Article |
| id | doaj.art-e7efff6dec62426abcb1df9b448abab3 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-08T11:14:58Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-e7efff6dec62426abcb1df9b448abab32024-01-26T10:36:29ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014580900210.1051/e3sconf/202345809002e3sconf_emmft2023_09002Measure of compactness for analyse datasetMukhammadiev Ravshan0Mukhamadiev Abdivali1National University of UzbekistanTashkent University of Information Technologies named by Muhammad Al-KhwarizmiThe article dedicated to finding measure of compactness, and analyze dataset with using compactness. For finding measure of compactness, we search for hidden regularities from sociology database. In this way we need consider n-p full task and it will be 2n combinations. To solve this task, we use heuristic way with using binary matrix. In the article we use invariant methods which find measure of compactness of dataset. Our survey were taken from korean, uzbek peoples and we obtained a result from this dataset.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/95/e3sconf_emmft2023_09002.pdfobjectsetclassfeaturenominalquantitativespacesimilarity matrix |
| spellingShingle | Mukhammadiev Ravshan Mukhamadiev Abdivali Measure of compactness for analyse dataset E3S Web of Conferences object set class feature nominal quantitative space similarity matrix |
| title | Measure of compactness for analyse dataset |
| title_full | Measure of compactness for analyse dataset |
| title_fullStr | Measure of compactness for analyse dataset |
| title_full_unstemmed | Measure of compactness for analyse dataset |
| title_short | Measure of compactness for analyse dataset |
| title_sort | measure of compactness for analyse dataset |
| topic | object set class feature nominal quantitative space similarity matrix |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/95/e3sconf_emmft2023_09002.pdf |
| work_keys_str_mv | AT mukhammadievravshan measureofcompactnessforanalysedataset AT mukhamadievabdivali measureofcompactnessforanalysedataset |