2025-02-23T15:51:35-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-171322%22&qt=morelikethis&rows=5
2025-02-23T15:51:35-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-171322%22&qt=morelikethis&rows=5
2025-02-23T15:51:35-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T15:51:35-05:00 DEBUG: Deserialized SOLR response
Оцінка ефективності нового статистичного ієрархічного агломеративного алгоритму кластеризації для розпізнавання регіонів зображень
The new hierarchical aglomerative algorithm for cluster (region) recognition of images is considered. The analysis of the processing speed of the suggested algorithm and most widespread k-means algorithm is proposed. The evaluations of image clusterization quality are introduced.
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| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | rus |
| Published: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2019
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| Online Access: | http://journal.iasa.kpi.ua/article/view/171322 |
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