TASNIFLASH VA KLASTERLASH

##article.authors##

  • Onarkulov Maqsadjon Karimberdiyevich ##default.groups.name.author##
  • Tojimamatov Israiljon Nurmamatovich ##default.groups.name.author##
  • Yusupov Mirsaid Abdulaziz o‘g‘li ##default.groups.name.author##
  • Jamoliddinova Diyora Umidjon qizi ##default.groups.name.author##

##semicolon##

Tasniflash, Klasterlash, Nazoratli o'rganish, Nazoratsiz o'rganish, Guruhlash, Label.##common.commaListSeparator## Classification, Clustering, Supervised learning, Unsupervised learning, Grouping, Labeling.##common.commaListSeparator## классификация, кластеризация, обучение с учителем, обучение без учителя, группировка, маркировка.

##article.abstract##

Tezisda ma'lumotlarni klasterlash va tasniflash haqida to'liq ma'lumot berib o'tiladi. Ularning afzalliklari, qo'llanish sohalari va ishlash prinsiplari aytib o'tiladi.

The thesis provides a detailed overview of data clustering and classification methods, discussing their advantages, application areas, and working principles.В тезисе подробно рассматриваются методы кластеризации и классификации данных. Описываются их преимущества, области применения и принципы работы.

##submission.authorBiographies##

  • Onarkulov Maqsadjon Karimberdiyevich

    Farg’ona davlat unversiteti amaliy matematika va

     informatika kafedrasi dotsenti

    maxmaqsad@gmail.com

  • Tojimamatov Israiljon Nurmamatovich

    Farg’ona davlat unversiteti amaliy matematika va informatika kafedrasi katta oʻqituvchisi   isik80@mail.ru

  • Yusupov Mirsaid Abdulaziz o‘g‘li

    Farg’ona davlat unversiteti amaliy matematika va informatika kafedrasi o‘qituvchisi  mirsaidbeky@gmail.com

  • Jamoliddinova Diyora Umidjon qizi

    Farg’ona davlat universiteti 3-kurs talabasi,

    jamoldinovadiyora07@gmail.com

##submission.citations##

FOYDALANILGAN ADABIYOTLAR

1.Pétrowski, Alain; Ben-Hamida, Sana (2017). Evolutionary algorithms. John Wiley & Sons. p. 30. ISBN 978-1-119-13638-5.

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4.Burkhart, Michael C.; Ruiz, Gabriel (2023). "Neuroevolutionary representations for learning heterogeneous treatment effects". Journal of Computational Science. 71: 102054. doi:10.1016/j.jocs.2023.102054. S2CID 258752823.

5.Whitley 1994, p. 66.

6.Luque-Rodriguez, Maria; Molina-Baena, Jose; Jimenez-Vilchez, Alfonso; Arauzo-Azofra, Antonio (2022). "Initialization of Feature Selection Search for Classification (sec. 3)". Journal of Artificial Intelligence Research. 75: 953–983. doi:10.1613/jair.1.14015.

7.Eiben, A. E. et al (1994). "Genetic algorithms with multi-parent recombination". PPSN III: Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: 78–87. ISBN 3-540-58484-6.

8.Ting, Chuan-Kang (2005). "On the Mean Convergence Time of Multi-parent Genetic Algorithms Without Selection". Advances in Artificial Life: 403–412. ISBN 978-3-540-28848-0.

9.Deb, Kalyanmoy; Spears, William M. (1997). "C6.2: Speciation methods". Handbook of Evolutionary Computation. Institute of Physics Publishing. S2CID 3547258.

10.Shir, Ofer M. (2012). "Niching in Evolutionary Algorithms". In Rozenberg, Grzegorz; Bäck, Thomas; Kok, Joost N. (eds.). Handbook of Natural Computing. Springer Berlin Heidelberg. pp. 1035–1069. doi:10.1007/978-3-540-92910-9_32. ISBN 9783540929093.

##submissions.published##

2024-12-19

##submission.howToCite##

TASNIFLASH VA KLASTERLASH. (2024). Modern Education and Development, 16(7), 257-262. https://scientific-jl.org/mod/article/view/6411