OB'EKTNING O'XSHASHLIGI O'LCHOVLARI VA MA'LUMOTLARNI KLASTERLASH MASALASI

Authors

  • Rasuljonova Zarnigor Egamnazar qizi Farg’ona davlat unversiteti 2-kurs talabasi Author

Keywords:

Ob'ektlarning o'xshashligi, ma'lumotlarni klasterlash, sun'iy intellekt, o'xshashlik o'lchovlari, klasterlash algoritmlari, yuqori oʻlchamli maʼlumotlar, aralash ma'lumotlar turlari, shovqin va chegaralar, dinamik va rivojlanayotgan ma’lumotlar, bashoratli modellashtirish, anomaliyalarni aniqlash, yashirin naqshlar.

Abstract

Ushbu maqolada sun'iy intelektning muhim sohalaridan biri - obyektlarning o'xshashligi va ularni klasterlarga ajratish masalalari batafsil yoritilgan. Dastlab, obyektlarning o'xshashlik darajasini baholash uchun ishlatiluvchi o'lchamlar, jumladan, Evklidov masofasi, Manxetten masofasi va kosinus o'xshashlik o'lchami kabi eng mashhur usullar tavsiflab o'tilgan.

References

MacQueen, J. (1967). Some Methods for Classification and Analysis of Multivariate Observations. Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability. 1. University of California Press. pp. 281–297.

Ester, M., Kriegel, H.P., Sander, J., & Xu, X. (1996). A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining (KDD-96).

Rokach, L., & MSun`iy intellektmon, O. (2005). Clustering Methods. In Data Mining and Knowledge Discovery Handbook (pp. 321-352). Springer..

Tan, P.N., Steinbach, M., & Kumar, V. (2005). Introduction to Data Mining. Pearson Education.

Aggarwal, C.C., & Reddy, C.K. (2013). Data Clustering: Algorithms and Applications. CRC Press.

Tojimamatov, I. N., Olimov, A. F., Khaydarova, O. T., & Tojiboyev, M. M. (2023). CREATING A DATA SCIENCE ROADMAP AND ANALYSIS. PEDAGOGICAL SCIENCES AND TEACHING METHODS, 2(23), 242-250.

Тожимаматов, И. Н. (2023). ЗАДАЧИ ИНТЕЛЛЕКТУАЛЬНОГО АНАЛИЗА ДАННЫХ. PEDAGOG, 6(4), 514-516.

Muqaddam, A., Shahzoda, A., Gulasal, T., & Isroil, T. (2023). NEYRON TARMOQLARDAN FOYDALANIB TASVIRLARNI ANIQLASH USULLARI. SUSTAINABILITY OF EDUCATION, SOCIO-ECONOMIC SCIENCE THEORY, 1(8), 63-74.

Raximov, Q. O., Tojimamatov, I. N., & Xo, H. R. O. G. L. (2023). SUNIY NЕYRON TARMOQLARNI UMUMIY TASNIFI. Scientific progress, 4(5), 99-107.

Ortiqovich, Q. R., & Nurmamatovich, T. I. (2023). NEYRON TARMOQNI O ‘QITISH USULLARI VA ALGORITMLARI. Scientific Impulse, 1(10), 37-46.

Tojimamatov, I. N., Mamalatipov, O., Rahmatjonov, M., & Farhodjonov, S. (2023). NEYRON TARMOQLAR. Наука и инновация, 1(1), 4-12.

Tojimamatov, I. N., Mamalatipov, O. M., & Karimova, N. A. (2022). SUN’IY NEYRON TARMOQLARINI O ‘QITISH USULLARI. Oriental renaissance: Innovative, educational, natural and social sciences, 2(12), 191-203.

Muqaddam, A., Shahzoda, A., Gulasal, T., & Isroil, T. (2023). NEYRON TARMOQLARDAN FOYDALANIB TASVIRLARNI ANIQLASH USULLARI. SUSTAINABILITY OF EDUCATION, SOCIO-ECONOMIC SCIENCE THEORY, 1(8), 63-74.

Raximov, Q. O., Tojimamatov, I. N., & Xo, H. R. O. G. L. (2023). SUNIY NЕYRON TARMOQLARNI UMUMIY TASNIFI. Scientific progress, 4(5), 99-107.

Raxmatjonova, M. N., & Tojimamatov, I. N. (2023). BIZNESDA SUNIY INTELEKT TEXNOLOGYALARI VA ULARNI AHAMIYATI. Лучшие интеллектуальные исследования, 11(3), 46-52.

Nurmamatovich, T. I. (2024, April). BIR QATLAMLI PERCEPTRONNI O ‘QITISH. In " CANADA" INTERNATİONAL CONFERENCE ON DEVELOPMENTS İN EDUCATİON, SCİENCESAND HUMANİTİES (Vol. 17, No. 1).

Nurmamatovich, T. I. (2024, April). SUN'IY NEYRONNING MATEMATIK MODELI HAMDA FAOLLASHTIRISH FUNKTSIYALARI. In " USA" INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE TOPICAL ISSUES OF SCIENCE (Vol. 17, No. 1).

Published

2024-05-15