CLUSTERING OF OBJECTS USING THE DBSCAN ALGORITHM

Authors

  • Shavkat Fayzullayevich Madraximov Doctor of Technical Sciences, Professor, National University of Uzbekistan, Tashkent City, Uzbekistan Author
  • Sherzod Dilmurodovich Dilmurodov Senior Researcher, Southern Research Institute of Agriculture, Karshi City, Uzbekistan Author
  • Fayzulla Yusupovich Shodiyev Associate Professor, Karshi State University, Karshi City, Uzbekistan Author
  • Munisa Davronova Student, Karshi State University, Karshi City, Uzbekistan. Author

Keywords:

DBSCAN, legality, K-means,  − neighboured, cluster, root object, boundary object, noise object, MinPts.

Abstract

This article discusses the solution to the problem of identifying complex hidden relationships between varieties by clustering using the DBSCAN algorithm, dividing the features of soft wheat varieties into groups (reflecting the growth and development of the wheat plant, components of fertility and fertility, reflecting the quality of the grain).

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Published

2025-05-17

Issue

Vol. 1 No. 2 (2025)

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

CLUSTERING OF OBJECTS USING THE DBSCAN ALGORITHM. (2025). Modern American Journal of Engineering, Technology, and Innovation, 1(2), 64-72. https://usajournals.org/index.php/2/article/view/105